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Analytical Solutions to Common Healthcare Problems

5,710

4.6

Brian Paciotti

University of California, Davis

[]

In this course, we’re going to go over analytical solutions to common healthcare problems. I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. You will then be able to extract, transform, and load data into data structures required for solving medical problems and be able to also harmonize data from multiple sources. Finally, you will create a data dictionary to communicate the source and value of data. Creating these artifacts of data processes is a key skill when working with healthcare data. In this module, you will explain why comparing healthcare providers with respect to quality can be beneficial, and what types of metrics and reporting mechanisms can drive quality improvement. You'll recognize the importance of making quality comparisons fairer with risk adjustment and be able to defend this methodology to healthcare providers by stating the importance of clinical and non-clinical adjustment variables, and the importance of high-quality data. You will distinguish the important conceptual steps of performing risk-adjustment; and be able to express the serious nature of medical errors within the US healthcare system, and communicate to stakeholders that reliable performance measures and associated interventions are available to help solve this tremendous problem. You will distinguish the traits that help categorize people into the small group of super-utilizers and summarize how this population can be identified and evaluated. You'll inform healthcare managers how healthcare fraud differs from other types of fraud by illustrating various schemes that fraudsters use to expropriate resources. You will discuss analytical methods that can be applied to healthcare data systems to identify potential fraud schemes. 8 videos1 reading1 assignment3 discussion prompts In this module, you will define clinical identification algorithms, identify how data are transformed by algorithm rules, and articulate why some data types are more or less reliable than others when constructing the algorithms. You will also review some quality measures that have NQF endorsement and that are commonly used among health care organizations. You will discuss how groupers can help you analyze a large sample of claims or clinical data. You'll access open source groupers online, and prepare an analytical plan to map codes to more general and usable diagnosis and procedure categories. You will also prepare an analytical plan to map codes to more general and usable analytical categories as well as prepare a value statement for various commercial groupers to inform analytic teams what benefits they can gain from these commercial tools in comparison to the licensing and implementation costs. 7 videos1 assignment1 discussion prompt In this module, you will describe logical processes used by database and statistical programmers to extract, transform, and load (ETL) data into data structures required for solving medical problems. You will also harmonize data from multiple sources and prepare integrated data files for analysis. 6 videos1 assignment1 discussion prompt In this module, you will describe to an analytical team how risk stratification can categorize patients who might have specific needs or problems. You'll list and explain the meaning of the steps when performing risk stratification. You will apply some analytical concepts such as groupers to large samples of Medicare data, also use the data dictionaries and codebooks to demonstrate why understanding the source and purpose of data is so critical. You will articulate what is meant by the general phase -- “Context matters when analyzing and interpreting healthcare data.” You will also communicate specific questions and ideas that will help you and others on your analytical team understand the meaning of your data. 7 videos1 reading1 assignment1 peer review2 discussion prompts

4 modules

Intermediate level

10 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/analytical-solutions-common-healthcare-problems

Understanding Einstein: The Special Theory of Relativity

170,608

4.9

Larry Randles Lagerstrom

Stanford University

[]

In this course we will seek to “understand Einstein,” especially focusing on the special theory of relativity that Albert Einstein, as a twenty-six year old patent clerk, introduced in his “miracle year” of 1905. Our goal will be to go behind the myth-making and beyond the popularized presentations of relativity in order to gain a deeper understanding of both Einstein the person and the concepts, predictions, and strange paradoxes of his theory. Some of the questions we will address include: How did Einstein come up with his ideas? What was the nature of his genius? What is the meaning of relativity? What’s “special” about the special theory of relativity? Why did the theory initially seem to be dead on arrival? What does it mean to say that time is the “fourth dimension”? Can time actually run more slowly for one person than another, and the size of things change depending on their velocity? Is time travel possible, and if so, how? Why can’t things travel faster than the speed of light? Is it possible to travel to the center of the galaxy and return in one lifetime? Is there any evidence that definitively confirms the theory, or is it mainly speculation? Why didn’t Einstein win the Nobel Prize for the theory of relativity? About the instructor: Dr. Larry Lagerstrom is the Director of Academic Programs at Stanford University’s Center for Professional Development, which offers graduate certificates in subjects such as artificial intelligence, cyber security, data mining, nanotechnology, innovation, and management science. He holds degrees in physics, mathematics, and the history of science, has published a book and a TED Ed video on "Young Einstein: From the Doxerl Affair to the Miracle Year," and has had over 30,000 students worldwide enroll in his online course on the special theory of relativity (this course!). Week 1: Introduction to the Course, and Einstein in Context 9 videos8 readings4 assignments Week 2: Events, Clocks, and Reference Frames 11 videos12 readings9 assignments Week 3: Ethereal Problems and Solutions 12 videos15 readings6 assignments Week 4: The Weirdness Begins 14 videos15 readings9 assignments Week 5: Spacetime Switches 17 videos16 readings10 assignments Week 6: Breaking the Spacetime Speed Limit 11 videos11 readings8 assignments Week 7: Paradoxes to Ponder 11 videos12 readings5 assignments Week 8: To the Center of the Galaxy and Back 9 videos10 readings7 assignments

8 modules

Beginner level

https://www.coursera.org/learn/einstein-relativity

98%

JavaScript for Beginners Specialization

37,762

4.7

William Mead

University of California, Davis

['web interactivty', 'Jquery', 'Data Manipulation', 'JavaScript', 'web interactivty', 'Jquery', 'Data Manipulation', 'JavaScript']

This Specialization is intended for the learner with no previous programming experience or the career changer transitioning to software development. JavaScript is generally the first programming language you will need to learn and this Specialization will help you practice and build your skills through a gentle progression of modules and courses. Applied Learning Project Learners will be able to follow along with the instructor and be able to apply and practice their learning through a series of low-stakes challenges and projects. Quizzes are the main assessment for this Specialization, along with Honor options in a couple of the courses. Working with a Code Editor, Intro of Selection Control Structures, How to Create Loops, and Understanding Core Programming Structures. Introduces learners to the popular jQuery library and explores the syntactical differences between JavaScript and jQuery using small projects. This course is the third in our JavaScript for Beginners Specialization. The scripts will become more complex and introduce more complex jQuery plugins. You will have several challenges to practice your skills throughout the course. The course objectives include how to identify objects in JavaScript; create new objects and populate them with data; manipulate objects by adding, modifying and deleting data in objects; manipulate the DOM based on the data in objects; identify and articulate how multiple functions work together to create a more complex program; and identify processes for breaking larger programs into smaller, more manageable pieces. This course builds on the skills from the previous course and goes further into managing and manipulating data with JavaScript. You will learn methods for validating and handling data provided by users or coming from an external data source. This course includes a challenge in the form of a seat reservation system, as well as a project that pulls data in from an external data source. The course objectives include validation basics in JavaScript and jQuery; jQuery form validation plugin features; arrow functions; asynchronous functions; and the JavaScript event loop.

4 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/specializations/javascript-beginner

Security, Compliance, and Governance for AI Solutions

Enrollment number not found

Rating not found

AWS Instructor

Amazon Web Services

[]

This course helps you understand some common issues of around security, compliance, and governance associated with artificial intelligence (AI) solutions. You will learn how to recognize governance and compliance requirements for AI systems. You will also learn about various Amazon Web Services (AWS) services and features that will help you apply governance controls and achieve your compliance objectives. Finally, you will be introduced to AWS services that can help you secure your AI systems. 1 reading1 assignment

1 module

Beginner level

1 hour to complete

https://www.coursera.org/learn/security-compliance-and-governance-for-ai-solutions

Understanding Fitness Programming

Enrollment number not found

Rating not found

Casey DeJong

National Academy of Sports Medicine

['Cardiovascular training', 'Resistance training', 'Core training', 'Fitness programming', 'Flexibility training']

In this course, you will learn to identify appropriate exercises to meet each client's specific needs and objectives. This involves understanding a client’s current fitness level, any limitations or health concerns, and their desired outcomes. By selecting the right exercises, you can help clients achieve their goals safely and effectively. It is also important to be able to identify appropriate exercise modifications for specific client requirements. This may involve adjusting the intensity, duration, or type of exercise to accommodate the client's needs. By making these modifications, you can help clients continue to progress toward their goals while minimizing the risk of injury. It is also essential to be able to coach and cue clients through exercises they have never performed before. This involves providing clear and concise instructions, demonstrating proper form and technique, and providing feedback and encouragement to help clients perform the exercises correctly and safely. By the end of the course, you will be able to: • Identify appropriate exercises to meet client needs. • Identify appropriate exercise modifications for specific client requirements. • Build safe and effective exercise programs. • Coach and cue clients through exercises they have never performed before. Cardiorespiratory fitness is arguably the most important component of physical fitness, is the best indicator of overall health, and is necessary to sustain the energy requirements of everyday life. Effective cardiorespiratory fitness levels help maintain recommended body weight. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 6 videos9 readings6 assignments2 plugins Flexibility training addresses the growing postural imbalances caused by sedentary lifestyles, enhancing overall musculoskeletal health. Essential for fitness professionals, flexibility training reduces low back pain, joint pain, and overuse injuries. Flexibility, defined as the normal extensibility of all soft tissue allowing full joint range of motion, is optimized through dynamic range of motion, integrating flexibility and neuromuscular control. Effective flexibility training involves various techniques, such as self-myofascial release and static and dynamic stretching, each contributing to improved neuromuscular efficiency and overall physical function. Understanding the benefits and appropriate application of these techniques is crucial for designing comprehensive fitness programs. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 6 videos8 readings6 assignments3 plugins Core training is a vital component of fitness that goes beyond strengthening the abdominals to enhance overall body function. It plays a critical role in improving posture, performance, and resistance to injury by engaging a variety of muscles in and around the trunk region. The core, which includes the pelvis, lower back, and associated muscles, is the body’s balance point and the origin of all movement. A well-structured core training program targets both the movement and stabilization systems, ensuring optimal joint function and dynamic stability. Understanding and implementing core training principles is essential for fitness professionals to help clients achieve better physical performance and prevent injuries. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 2 videos8 readings6 assignments5 plugins Resistance training is a fundamental component of fitness programs, crucial for helping clients achieve their performance and health goals. Effective resistance training programs are built on key principles such as adaptation, specificity, and periodization, which ensure progressive overload and proper recovery to maximize benefits and prevent injuries. Understanding these principles enables fitness professionals to design customized, efficient resistance training programs that cater to individual needs and enhance overall physical performance. This comprehensive approach helps maintain high exercise adherence and reduces the risk of injury, ultimately leading to better fitness outcomes for clients. Upon completion of this week’s lessons, the aspiring fitness professional will be able to: 5 videos10 readings7 assignments3 plugins The final quiz is designed to assess you understanding and mastery of the key concepts covered throughout the course. It will include questions from all the major topics discussed in Weeks 1 to 4, ensuring that you have a solid grasp of the principles and practices of exercise programming. The final peer-reviewed assignment assesses your practical skills in comparing aerobic and anaerobic exercises, designing personalized workout plans, and applying theoretical knowledge to real-world scenarios. This assignment will provide hands-on experience tailoring fitness programs to individual needs, a crucial skill for personal fitness trainers. By completing it, you will demonstrate your ability to differentiate between aerobic and anaerobic exercises, use the FITTE-VP principle, and implement stage training principles to design a comprehensive cardiorespiratory training program. 1 assignment1 peer review

5 modules

Beginner level

27 hours to complete (3 weeks at 9 hours a week)

https://www.coursera.org/learn/understanding-fitness-programming

Educating Deaf Children: Becoming an Empowered Teacher

16,749

4.9

Odette Swift

University of Cape Town

['Deaf culture and community', 'language-rich environment', 'empowered teacher', 'accommodations and modifications']

Many Deaf children around the world still leave school functionally illiterate. In some cases, there is no allowance made for the education of Deaf children at all. This 4-week course provides you with invaluable knowledge and skills about teaching Deaf children. You will learn about the importance of Deaf culture and community, the need for a language-rich environment for the Deaf child from as young as possible, and that having access to sign language can help Deaf children academically, emotionally, and socially. We also cover various accommodations and modifications that you can apply in your classroom and learning environment to create an accessible learning experience for Deaf children. You will also find that a shift in attitude will enable you to connect with Deaf children with more understanding. This course does not teach sign language since each country has its own sign language. We hope that through this course you become an empowered teacher - for yourself, for your fellow teachers, and most importantly, for the Deaf children in your classroom. You will be able to purchase a Verified Certificate if you wish to show evidence of your achievements, but this is optional, and you may apply for Financial Aid if you are unable to pay the certificate fee. Welcome to the first week of the course! In this week, you will be finding out about the experience of being Deaf from school children who participated in the TEDI research project as well as from three Deaf guest presenters. Being Deaf impacts learning and it is important to start the course with this awareness. The assessment in this week is a graded quiz at the end of the week. You will also have an opportunity to share some of your thoughts and reflections in the discussion forum. As a reminder, this course does not teach sign language since each country has its own sign language. We hope you enjoy the first week of the course! 9 videos6 readings2 assignments2 discussion prompts The second week in this course focuses on knowledge about the Deaf child's communication, emotional, and social development. This type of knowledge is crucial for teachers working with Deaf children, as it can inform teaching practices and greatly contribute to becoming an empowered teacher. In this week, you will hear from various experts, such as a counselor, an occupational therapist, and an audiologist, who will share their knowledge and experiences regarding Deaf children's development. At the end of this week there is a graded quiz and an opportunity for reflection through discussion. This week also includes an optional Honors lesson with a written assignment that will be reviewed by your peers. 11 videos2 readings2 assignments1 peer review1 discussion prompt Welcome to the third week of the course! In this week, we will look at creating classroom and learning experiences that are accessible to Deaf children. We know that every child has a right to quality education and in the previous two weeks you have learnt about the barriers to learning that Deaf children face and how excluded they often are from education. The content we bring to you in this week will show you how you can ensure that Deaf children are able to access learning by making your classroom, teaching methods, and assessments accessible. This week includes a graded quiz at the end of the week. You will also have an opportunity to share your reflections and experiences with your peers in the discussion forum at the end of the week. 9 videos2 readings3 assignments1 discussion prompt Welcome to the last week of the course! Your journey to becoming an empowered teacher is ending. We hope that you have learnt valuable new practices in the previous three weeks. In this last week, the guest presenters discuss some internal and external aspects that you as teachers of Deaf children can focus on that can help you become a stronger and more effective teacher. These aspects include taking care of yourself, building support around you, working with teaching assistants, and collaborating with parents. By the end of the week, you will have completed your journey to becoming an empowered teacher and you will have an opportunity to reflect on the knowledge that you have gained through a written assignment that will be reviewed by your peers. You will also be able to share some reflections and final thoughts with your peers in the discussion forum at the end of the week. 9 videos2 readings1 peer review1 discussion prompt

4 modules

Beginner level

https://www.coursera.org/learn/educating-deaf-children

99%

Scandinavian Film and Television

24,338

4.7

Eva Novrup Redvall

University of Copenhagen

[]

In many ways Scandinavian film and television is a global cultural brand, connected with and exporting some of the cultural and social values connected to a liberal and progressive welfare society. This course deals with the social, institutional and cultural background of film and television in Scandinavia and in a broader European and global context. This module consists of two lessons. The first lesson offers an introduction to main trends in the contemporary Scandinavian film and television culture, focusing – among other things – on how the national film and television cultures relate to ideas of the welfare state. The module also addresses the international impact of film and television from Scandinavia. The second lesson deals with the early years of cinema in Scandinavia and the work of the Danish director Carl Th. Dreyer, from a silent film classic such as 'The Passion of Joan of Arc' to the sound film era. 6 videos2 readings2 assignments3 discussion prompts 'The Seventh Seal', 'Persona' and 'Cries and Whispers' are just some of the famous films by the acclaimed Swedish director Ingmar Bergman. The third lesson focuses on issues of influences, themes and style in his films as well as on Bergman's importance for the modern art cinema. The fourth lesson deals with the internationally renowned ideas and films by the Danish director Lars von Trier: 'The Europa-trilogy'; The TV series 'Riget'/'The Kingdom'; 'Breaking the Waves'; 'Dancer in the Dark' and 'Dogville'; The Dogma 95 Manifesto; 'Antichrist', 'Melancholia' and 'Nymphomaniac' ... 6 videos2 readings2 assignments3 discussion prompts Many people have heard of the French new wave cinema, 'la nouvelle vague'. The fifth lesson deals with the main tendencies of the Scandinavian new wave cinema and some of its 'auteurs'. The sixth lesson focuses on different tendencies in the Scandinavian art film and social drama after 1990, ranging from award-winning heritage films to harsh stories from the contemporary Scandinavian welfare societies. 6 videos2 readings2 assignments Scandinavian cinema has a long history of strong documentary film making. The seventh lesson moves from the early documentary filmmakers to the contemporary – global and digital – scene for Scandinavian documentaries. Television drama is important for the Scandinavian public service broadcasters, but the notions of good television drama have changed remarkably from the early days of television up until today. In the eighth lesson we focus on the main tendencies in these developments from 1960 to 2000. 6 videos2 readings2 assignments With 'Nordic Noir' such as 'Wallander' and 'Forbrydelsen/The Killing' becoming a 'brand' in the 2010s, some 'Scandi crime' series were suddenly of interest to international as well as national audiences. The ninth lesson focuses on Scandinavian television drama after the millennium and addresses some of the changes in the production framework that helped the series move from the national to the international realm. The tenth and final lesson discusses how to understand the contemporary Scandinavian film and television culture in a global and digital era. What might the transnational future bring? (Please be advised that these lectures were filmed in 2014. Much has happened since then. We have put links about more recent developments in the resources.) 6 videos8 readings2 assignments

5 modules

Beginner level

https://www.coursera.org/learn/scandinavian-movies-tv

97%

Foundations of Music Promotion & Branding

Enrollment number not found

Rating not found

Joey Harris

GRAMMY GO

['Personal Branding', 'Social Media', 'Promotion (Marketing)', 'strategy', 'Customer analysis', 'Media Strategy and planning', 'Marketing', 'Digital Marketing', 'Promotion', 'Promotional Strategies', 'Branding']

Welcome to "Foundations of Music Promotion & Branding," the foundational pillar of the "Building Your Audience for Music Professionals" Specialization. Spanning over four detailed modules, this course is your first step toward mastering the art of music promotion and establishing a resonant brand within the industry. What You Will Learn: - Brand Identity Creation: Learn to articulate your artistic identity, ensuring -your music resonates with your desired audience and stands out in a crowded marketplace. - Visual Branding Mastery: The skills to design captivating visuals that reflect your brand's essence, making your music and image impossible to scroll past. - Audience Insights: Techniques for conducting deep audience research, enabling you to tailor your music and branding to effectively engage and grow your fanbase. Final Project: Your journey culminates in creating a personalized branding blueprint and an authentic brand identity statement, equipping you with a solid foundation to build upon as you progress through the specialization. Who Should Enroll: This course is specially designed for emerging music artists, aspiring managers, producers, promoters, and industry professionals who recognize the power of a strong brand in building a sustainable music career. Whether you're launching a new project or seeking to refine your existing brand, this course provides the foundational knowledge and practical tools to achieve your branding and promotional objectives. This week covers brand authenticity and identity, and guides you through genuine self-expression, brand curation and audience connection. In Lesson 1, "Exemplary Brand Identities," you will explore the role of brand identity in building dedicated followings and crafting cohesive images across platforms. Lesson 2, "Crafting an Authentic Brand Identity" focuses on forging deep audience connections through genuine self-conception. At the end of the module, you will distill your core values into brand identity statements to create an authentic personal brand. 9 videos7 readings2 assignments1 peer review1 discussion prompt2 plugins This week you'll begin crafting an authentic brand identity. Through lectures, hands-on activities and expert insights, you will explore strategies for brand development; explore the role of visual elements like logos, colors and fonts; and learn to create and maintain a powerful mood board. Then, you’ll uncover the significance of feedback and use it to refine your brand. This will prepare you to develop a comprehensive plan to elevate your brand with peer feedback, focus groups, coaching, and collaborations. 6 videos3 readings1 assignment1 peer review1 discussion prompt This week, you’ll learn about the critical process of audience research and its profound impact on brand strategies. Discussions encompass the significance of collecting relevant data, methods for accurate data acquisition, and the analytical potential of demographic factors. You’ll participate in hands-on activities, honing your skills to determine research parameters and gather audience data. At the end of the module, you will craft an audience analysis report and develop a precise audience persona, providing a roadmap for informed and effective branding strategies based on a deep understanding of your target audience. 2 videos3 readings1 assignment1 peer review This week guides you in setting goals, defining key audience growth elements, and recognizing significant milestones in brand and audience development. Discussions cover how to source valuable feedback and refine work based on insights. For the final project, you will reflect on your personal growth and achievements to create an artistic visual representation of your journey. 5 videos1 reading1 assignment1 peer review

4 modules

Beginner level

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/foundations-of-music-promotion-branding

Photovoltaic Systems

11,731

4.6

Rasmus Nielsen

Technical University of Denmark (DTU)

['Renewable Energy', 'Photovoltaics', 'PV system design', 'The Solar Resource', 'Energy Yield Simulations']

This course offers you advanced knowledge within the field of photovoltaic system technology. We'll learn about the solar resource and how photovoltaic energy conversion is used to produce electric power. From this fundamental starting point we'll cover the design and fabrication of different solar cell and module technologies, the various photovoltaic system components, how to design a photovoltaic plant and carry out energy yield simulations, essentials in energy economics, O&M and reliability assessment, as well as the role of photovoltaic energy in sustainable energy systems. This course is unique in that it takes you from the nanoscale physics of a solar cell to the modelling of a utility scale solar farm. The course is made up of 9 sections with an estimated workload of 2-3 hours each. The academic level is targeted at master students at technical universities and engineers from the energy industry. Passing this course offers you a great basis for a career in the field of photovoltaics. These lectures serve as an introduction to the field of photovoltaics in general, which includes the most basic terminology, an overview of the history of PV as well as the industrial deployment of the technology. 4 videos1 assignment These lectures cover the physics of the solar resource as well as various irradiance models to calculate the optimal tilt angle necessary for maximizing PV power production. 5 videos1 assignment1 plugin These lectures cover the physics necessary for understanding the working principles of solar cells, as well as an introduction to electrical characterization and modelling of photovoltaic devices. 8 videos3 assignments These lectures cover the principles of cell interconnection and properties of various module components necessary for designing and fabricating photovoltaic modules. Optional content is provided dealing with the environmental variables impacting the performance of PV modules in the field. 8 videos3 assignments1 plugin 13 videos4 assignments

5 modules

Intermediate level

11 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/photovoltaic-systems

SEL for Students: A Path to Social Emotional Well-Being

9,498

4.8

Dan Liston

University of Colorado Boulder

[]

Social and emotional learning, or SEL, programs have flourished in schools during the last decade. In this course the instructor (Emily Price) introduces you to the history and framings of social and emotional learning preK-12 curricula, as well as various elementary, middle, and high school SEL programs and associated research. This course is a part of the 5-course Specialization “The Teacher and Social Emotional Learning (SEL)”. Interested in earning 3 university credits from the University of Colorado-Boulder for this specialization? If so check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first module of this course for additional information. We want to note that the courses in this Specialization were designed with a three-credit university course load in mind. As a participant you may notice a bit more reading content and a little less video/lecture content. Completing and passing the SEL Specialization allows the participant to apply for 3 graduate credits toward teacher re-certification and professional enhancement. We want to ensure the quality and high standards of a University of Colorado learning experience. Interested in earning 3 graduate credits from the University of Colorado-Boulder for The Teacher and Social Emotional Learning (SEL) Specialization? Check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first week of this course for more information. This course focuses on SEL for its most common audience – students in P-12 school-based contexts. We begin this exploration by introducing the concept of social emotional well-being in Week 1. We explore what social emotional well-being is and investigate the relationship between it and the current emphasis on achievement in educational reform. Then, we highlight SEL as one means of developing social emotional well-being, positioning it in relation to other approaches, while highlighting our course’s focus on SEL programs and theories. 5 videos2 readings1 assignment1 discussion prompt In this section of the course, we trace the origins of the field of SEL, identifying how a perceived need for greater attention to children’s social and emotional development in schools grew in part from the popularization of theories of multiple intelligence and emotional intelligence in the mid to late 1990s. We identify other educational theories that support this work before attending to a discussion of what SEL is, identified primarily through its goals, purposes, and aims. 4 videos2 readings1 assignment1 discussion prompt In this section of the course, we attend to the ways in which school-based SEL programs differ with regard to scope, focus, audience and mode of infusion. Additionally, we take up general considerations of the characteristics of effective programs and practices with the intent of providing participants the tools necessary to evaluate specific SEL programs. 3 videos1 reading1 assignment1 discussion prompt The focus in this section of the course is on SEL programs in early childhood education and in elementary schools. We aim to provide a broad overview of programs on the market, and considerations specific to “doing SEL” with young children. Additionally, we aim to challenge participants to evaluate the usefulness of various programs for their own purposes with respect to the criteria and considerations identified in Week 3. 2 videos2 readings1 assignment1 discussion prompt The focus in this section of the course is on SEL programs in middle and high school contexts. We aim to provide a broad overview of programs on the market, considerations specific to “doing SEL” with older students, and an exploration of why SEL is particularly important at this stage in development. Additionally, we will highlight YPAR as one means of critically attending to principles of SEL as a preview of the focus of Course B. Finally, we aim to challenge participants to evaluate the usefulness of various programs for their own purposes with respect to the criteria and considerations identified in Week 2. 3 videos2 readings1 assignment1 discussion prompt

5 modules

Advanced level

https://www.coursera.org/learn/sel-for-students

98%

Inclusive Leadership: The Power of Workplace Diversity

59,458

4.9

Brenda J. Allen

University of Colorado System

['Diversity (Business)', 'self-awareness', 'Communication', 'Emotional Intelligence', 'inclusive leadership']

Do you want to promote diversity and inclusion? This course will empower and equip you to develop inclusive cultures where everyone feels valued and respected. You will learn how highly inclusive leaders from around the world use processes of social influence to interact effectively with individuals from a wide variety of backgrounds. You will deepen your understanding of the benefits of diversity. And, you will explore a wealth of perspectives and practices to help you to reap those benefits. This course is for current or aspiring leaders in ANY type of workplace, in ANY leadership role - a CEO of a corporation, a head of a department, a manager of a workgroup, a team leader, a chair of a committee, you name it! Course highlights include studying signature traits of inclusive leadership (based on global research), strengthening self-awareness, developing your communication skills, and improving your ability to help others feel a strong sense of belonging. Course content covers traditional and timely topics -- from listening, feedback, and collaboration, to privilege, implicit bias, microaggressions, and micro-affirmations. The instructor for this course is nationally recognized educator, leader, and public speaker, Dr. Brenda J. Allen (Communication Professor Emerita). Dr. Allen is a retired Chief Diversity Officer who offers highly-rated workshops, consultations, and presentations on topics such as inclusive leadership, racial equity, strategic planning, respect in the workplace, and diversity recruitment/retention practices. She has a proven ability for explaining complex and sensitive topics in non-threatening ways. She clearly explains concepts and offers compelling real-life examples - including her own experiences. This module provides perspectives on inclusion. We will explore the meanings of inclusion and why inclusion is important for promoting workplace diversity. The lessons will provide a foundation for becoming a highly inclusive leader. The first lesson defines inclusion. The second and third lessons describe and give examples of four factors of inclusion (belonging, uniqueness, equity, and non-discrimination). The fourth lesson discusses diversity in the workplace. It also explains how organizations benefit from inclusion. And it clarifies the relationship between inclusion and diversity. The module concludes with a Spotlight on The Workplace (Lesson 5). The Resources section of our course has: 1. A glossary of key concepts from this module 2. A Next Steps list to help you apply what you've learned in each module 3. An Inclusive Leadership Self-Assessment, and other materials to enhance your learning. Please check the Resources section regularly because I will periodically add and update materials. 6 videos12 readings3 assignments2 discussion prompts In this module, you will learn perspectives on inclusive leadership. The first lesson reviews traditional theories of leadership and offers the definition of leadership that we will use in our course. The second lesson explains how we define inclusive leadership. The next two lessons delve into self-awareness, a crucial aspect of inclusive leadership. The module concludes with a lesson on the benefits of inclusive leadership and a Spotlight on Privilege. Please note that the Resources section of our course has a glossary of key concepts from this module. The Resources section of our course has: 1. a glossary of key concepts from this module, and 2. a Next Steps list to help you apply what you've learned in this module, and a variety of other materials to enhance your learning. Please check the Resources section regularly because I will be adding and updating materials. 9 videos18 readings4 assignments2 discussion prompts In this module, we will explore six signature traits of inclusive leadership. Researchers Bernadette Dillon and Juliet Bourke conducted a large-scale international project to study how leaders around the world were responding to changes related to inclusion. They identified six signature traits of highly inclusive leaders. The first lesson provides an overview of the six traits. The next lessons offer an overview of each trait and explain how inclusive leaders enact those traits. The module concludes with a Spotlight on Implicit Bias. The Resources section includes: 1. a glossary of key concepts from this module, and 2. a Next Steps list to help you apply what you've learned in this module. Please check the Resources section regularly because I will often add and update materials. 10 videos19 readings2 assignments2 discussion prompts In this module, we’ll explore a variety of communication practices related to the six signature traits of inclusive leaders. Communication refers to the wide variety of ways that humans share meaning with one another, including communicating with oneself! Each lesson in this module provides information and ideas for how to communicate inclusively - how to show others that they are valued and respected. First, we will explore a few communication topics that are especially relevant to members of non-dominant groups in the workplace. Then, we'll delve into intrapersonal communication, listening, microaggressions, micro-affirmations, feedback, and inclusive meetings. The module concludes with a Spotlight on Power. The Resources section of our course has: 1. a glossary of key concepts from this module, 2. a Next Steps list to help you apply what you learned in this module, and 3. a reading entitled, Power Matters. 10 videos20 readings3 assignments2 discussion prompts

4 modules

Beginner level

https://www.coursera.org/learn/inclusiveleadership

99%

Averaged-Switch Modeling and Simulation

8,754

4.7

Dr. Dragan Maksimovic

University of Colorado Boulder

[]

This course can also be taken for academic credit as ECEA 5705, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #1 in the Modeling and Control of Power Electronics course sequence. The course is focused on practical design-oriented modeling and control of pulse-width modulated switched mode power converters using analytical and simulation tools in time and frequency domains. A design-oriented analysis technique known as the Middlebrook's feedback theorem is introduced and applied to analysis and design of voltage regulators and other feedback circuits. Furthermore, it is shown how circuit averaging and averaged-switch modeling techniques lead to converter averaged models suitable for hand analysis, computer-aided analysis, and simulations of converters. After completion of this course, the student will be able to practice design of high-performance control loops around switched-mode power converters using analytical and simulation techniques. We strongly recommend students complete the CU Boulder Power Electronics specialization before enrolling in this course (course numbers provided for students in CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) After completing this course, you will be able to: ● Explain operation and modeling of switched-mode power converters ● Model open-loop transfer functions and frequency responses ● Design closed-loop regulated switched-mode power converters ● Verify operation of switched-mode power converters by simulations ● Understand the Feedback Theorem principles ● Apply the Feedback Theorem to practical design examples ● Derive averaged switch models of and averaged circuit models of power converters ● Apply averaged-switch modeling techniques to analysis and design and simulations of power converters Review of modeling, control and simulation of switched-mode power converters 12 videos5 readings5 quizzes1 discussion prompt Understand and apply Feedback Theorem in the analysis and design of power electronics 10 videos4 quizzes Model and design switched-mode power converters using averaged switch modeling and averaged circuit simulations 12 videos1 reading5 quizzes

3 modules

Intermediate level

https://www.coursera.org/learn/averagedswitchmodelingandsimulation

Problem Solving Using Computational Thinking

86,624

4.6

Chris Quintana

University of Michigan

['Computer Programming', 'Computational Thinking']

Have you ever heard that computers "think"? Believe it or not, computers really do not think. Instead, they do exactly what we tell them to do. Programming is, "telling the computer what to do and how to do it." Before you can think about programming a computer, you need to work out exactly what it is you want to tell the computer to do. Thinking through problems this way is Computational Thinking. Computational Thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand. The course includes an introduction to computational thinking and a broad definition of each concept, a series of real-world cases that illustrate how computational thinking can be used to solve complex problems, and a student project that asks you to apply what they are learning about Computational Thinking in a real-world situation. This project will be completed in stages (and milestones) and will also include a final disaster response plan you'll share with other learners like you. This course is designed for anyone who is just beginning programming, is thinking about programming or simply wants to understand a new way of thinking about problems critically. No prior programming is needed. The examples in this course may feel particularly relevant to a High School audience and were designed to be understandable by anyone. You will learn: -To define Computational Thinking components including abstraction, problem identification, decomposition, pattern recognition, algorithms, and evaluating solutions -To recognize Computational Thinking concepts in practice through a series of real-world case examples -To develop solutions through the application of Computational Thinking concepts to real world problems 3 videos5 readings2 assignments1 discussion prompt 6 videos3 readings3 assignments2 discussion prompts 6 videos5 readings2 assignments2 discussion prompts 3 videos2 readings2 assignments 8 readings1 peer review

5 modules

Beginner level

https://www.coursera.org/learn/compthinking

97%

Oralpha: Literacy for new citizens, a course for trainers

Enrollment number not found

Rating not found

Silvia Carrasco

Universitat Autònoma de Barcelona

[]

You are interested in welcoming processes of migrants and refugees? You want to dedicate yourself to teaching lamguage and literacy? The objective of this course is to get to know the simultaneous process of literacy and language learning in the host society for migrated young people and adults. The linguistic integration is key for integration in the society. This course offers insight into international migration today and the real linguistic needs of migrated people in the countries of arrival. Furthermore, throughout the course you can learn about teaching methods and tools in language learning and literacy. The focus is on oral competencies, and processes starting from the students’ needs and difficulties them and the teaching staff are facing, implementing hands on experience and providing practical solutions supporting your class. The aim of this course is to learn about international migration and the experiences of immigrants in the receiving societies, as well as to train trainers to guide them in simultaneous processes of language and literacy learning, as an essential need for social integration in the host society. 1 video7 readings This module provides a general overview of international migration and social integration in 21st century Europe and the essential role of languages in it. Topics covered:<br>1. HUMAN MIGRATION AND MOBILITY:<br> a) Migration flows, regions and types.<br> b) Rights, regulations and migrants’ profiles.<br> c) Super-diversity, cities and refugees in Europe.<br>2. BORDERS AND LANGUAGES:<br> a) Reception systems for newly arrived migrants and asylum seekers and language provisions.<br> b) Immigrants’ experiences, interactions and language learning.<br>3. UNDERSTANDING SOCIAL INTEGRATION:<br> a) Integration models alongside history, with a particular focus on the intercultural approach.<br> b) Intersectionality, belonging and bordering . 4 videos5 readings1 assignment This module aims at providing a general overview of the students’ and teachers’ profile. Topics covered:<br>1. EXPECTATIONS AND NEEDS from students in relation to integration (i.e. staying or leaving the country; working; studying) and language. <br>2. PLURILINGUAL COMPETENCE (which are the students’ communicative practices? Which languages they already use? In which contexts? To reflect on key concepts to describe communicative competence of migrant and refugee students (Plurilingualism, translanguaging, superdiversity…)<br>3. STUDENTS’ BARRIERS to access language and education rights beyond classroom methodology. For example: enough number of courses; gender-related lack of ”awareness”/discrimination, system knowledge barriers; legal status; gaps in the educational system; policies to discourage to remain, mobility issues, linguistic diversity lack of awareness (e.g. the role of literacy in mother tongue). <br>4. TEACHERS’ PROFILES: expectations, working conditions, ideologies, training, expertise… in relation to ORALPHA methodology and NEEDS of training. <br>5. TEACHING COMPETENCIES: (i.e. adaptation skills, how to overcome stereotypes; gender issues; to value previous language 7 videos4 readings1 assignment This module aims at providing a general overview of the theoretical basis that is beyond L2 literacy classes. Topics covered:<br>1. L2 THEORY on second languages teaching and the specificities of low educational background students.<br>2. LITERACY THEORY, main theories of literacy teaching and the specificities of L2 teaching to people with a mother tongue that differs from the host language.<br>3. WAYS OF LEARNING, illiterate people ways of learning and ways to develop reading and writing skills. <br>4. ORAL SKILLS the importance of oral skills development in the L2 literacy class; specifics mechanisms to promote the orality in L2 literacy lessons<br>5. GROUP DYNAMICS, the importance of emotions and socialization in L2 literacy class; specifics mechanisms to promote group cohesion, motivation, self confidence, etc. In L2 literacy lessons. <br>6. INTERCULTURAL COMPETENCES L2, the importance of introducing intercultural approach (students, teachers and materials). 10 videos4 readings1 assignment

4 modules

Beginner level

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/oralpha-literacy-for-new-citizens-for-trainers

Strategies for Cloud Security Risk Management

2,116

4.6

Google Cloud Training

Google Cloud

['Understanding compliance standards', 'Implementing security controls', 'Risk management frameworks', 'Audit preparation', 'Framework interpretation']

Ready for more?! This is the second course of the Google Cloud Cybersecurity Certificate. Crack the code of security and compliance! ️ This course is your decoder ring to unlock the world of security domains, frameworks, and data privacy. Discover the secret language of risk, controls, and the trio of compliance: people, process, and tech! In this module, you’ll dive into the essential concepts of security domains, compliance frameworks, data privacy fundamentals, risk and security controls. You'll discover the key differences between security and compliance, and learn about controls and frameworks within the three pivotal areas of compliance: people, process, and technology. Explore risk and security controls in depth, giving you a clear view of how these controls are effectively implemented. 13 videos10 readings5 assignments Get ready to level up your risk management game! In this module, you'll crack the code on popular frameworks like NIST CSF, SOC 2, FedRAMP, HIPAA, and ISO 27001. You'll compare and contrast these frameworks like superheroes in a face-off, so you can pick the perfect one for any situation. Plus, you'll learn how to use them to build your own fortress of security, keeping your data safe and sound. So, buckle up and get ready for an epic adventure in risk management proficiency. 9 videos7 readings5 assignments In this module, you'll unlock the secrets of the compliance lifecycle. Imagine it as a labyrinth of rules and regulations – you'll learn how to map your path through controls, dodge the pitfalls of non-compliance, and perform audits like a seasoned adventurer. Discover how Policy-as-Code (PaC) can weave powerful safeguards directly into your Infrastructure-as-Code (IaC), transforming it into a self-defending fortress. 12 videos9 readings7 assignments Prepare for a thrilling expedition into the cloud! In this module, you'll skillfully wield the powers of Google's Security Command Center, Risk Manager, and Policy Analyzer – your trusty toolbox for conquering compliance challenges. Discover how these tools, combined with cloud security posture management (CSPM), form your ultimate defense system. You'll chart a course through the landscapes of CIS, NIST, ISO, and MITRE, learning to use their wisdom as your compass for risk management and security excellence. 12 videos10 readings6 assignments1 app item

4 modules

Beginner level

18 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/strategies-for-cloud-security-risk-management

Access Controls

9,209

4.7

ISC2 Education & Training

ISC2

[]

Welcome to Access Controls! The Access Controls Course provides information pertaining to specify what users are permitted to do, the resources they are allowed to access, and what operations they are able to perform on a system. Access Controls help managers limit and monitor systems use at a user level or group membership. You will understand the different access control systems and how they should be implemented to protect the system and data using the different levels of confidentiality, integrity, and availability. The Access Controls course provides information pertaining to specifying what users are permitted to do, the resources they are allowed to access, and what operations they are able to perform on a system. Access Controls help managers limit and monitor systems use at a user level, and is usually predefined based on authority level or group membership. You will understand the different access control systems and how they should be implemented to protect the system and data using the different levels of confidentiality, integrity, and availability. Objectives 1. Describe how to implement Authentication mechanisms 2. Identify and operate internetwork trust architectures 3. Describe the process of administering identity management life cycle 4. Implement the different types of access controls (Subject/Object based) Module Topics: Single Factor/Multifactor Authentication, Biometrics. In Single Factor/ Multifactor Authentication, you will learn about identity, methods, registration of new users, periodic review of access levels, clearance, authentication, knowledge, password reset, mass lockouts, ownership, and characteristics. In Biometrics, you will learn about biometrics, behavioral biometrics, physiological biometrics, biometric implementation issues, biometric accuracy, physiological use as identification, next-generation identification (NGI) database, department of defense (DoD) electronic biometric transmission specification (EBTS), and biometric standards development. 12 videos11 readings1 assignment1 discussion prompt Module Topics: Tokens, Single Sign-On, Offline and Device Authentication. In Tokens, you will learn about uses of token information, time-synchronized one-time passwords, mathematical-algorithm based one time passwords, physical types, disconnected tokens, connected tokens, contactless tokens, bluetooth and mobile device tokens, smart cards, types of smart card technology, smart card applications, multifactor authentication, two-factor vs. three-factor authentication, dual control, continuous authentication, periodic authentication, time outs, reverse authentication, certificate-based authentication, authorization, access to systems vs. data, network, access control lists/matrix, and directories. In Single Sign-On, you will learn about SSO risks, SSO implementation: kerberos, Kerberos applications, Kerberos process, Kerberos considerations, Kerberos tools, Klist purge, Server 2012/(R2) and Windows 8/8.1 features, and network ports used during Kerberos authentication. In Offline and Device Authentication, you will learn about types of authentication. 11 videos11 readings1 assignment Module Topics: Comparing Internetwork Architectures, One-way Trust, Two-way Trust, and Transitive Trust. In Comparing Internetwork Architectures, you will learn about typical DMZ design, trust path. In Trust, you will learn about one-way trust, two-way trust, and transitive trust. 4 videos4 readings1 assignment Module Topics: Identity Management, Authorization, Proofing, Provisioning, Maintenance, and Entitlement. In Identity management, you will learn about identity management cycle. You will also learn about, authorization, proofing, provisioning, and maintenance. In Entitlement, you will learn about entities, entitlement defined. 3 videos3 readings1 assignment Module Topics: Mandatory Access Control (MAC), Non-Discretionary Access Control, Discretionary Access Control (DAC), Role-Based Access Control (RBAC), Content Dependent, Context-Based, Temporal Isolation (Time Based), Attribute-Based, Separation of Duties, Security Architecture and Models. You will learn about Mandatory Access Control (MAC), and Non-Discretionary Access Control, In Discretionary Access Control (DAC), you will learn about Rule Set-Based Access Controls (RSBAC), RSBAC GFAC logic for data access request. In Role -Based Access Control (RBAC), you will learn about role hierarchies, constrained user interface (CUI), types of restricted interfaces, view-based access control (VBAC), and VBAC examples. You will also learn about Content-Dependent Access Control (CDAC), and Temperoal isolation (Time-Based) Access Control. In Attribute-based Access Control (ABAC), you will learn about key terms. In Security Architecture and Models, you will learn about Bell-LaPadula confidentiality Model, Biba integrity model, BLP and Biba model comparison, Clark-Wilson integrity model, and additional models, 9 videos9 readings1 assignment This assignment is based on a case study that will require the student to put into practice the knowledge they have gained through the course. It requires the basic understanding of the topics and the ability to relate those topics to the real world. The objective of review is to determine whether the student has understood the concepts and has performed the necessary analysis to ensure a complete and thorough answer. 1 peer review 1 reading1 assignment

7 modules

Beginner level

https://www.coursera.org/learn/access-control-sscp

96%

Intel® Solutions Pro – Principles of AI Everywhere

Enrollment number not found

Rating not found

Jennifer James

Intel

['AI Deployments', 'AI Everywhere', 'Xeon Processors', 'Edge Computing', 'AI Capabilities']

AI is transforming how we work and live every day, and it is evolving rapidly. Intel is delivering a full spectrum of hardware and software platforms, offering open and modular solutions to expedite time-to-value in this era of exponential growth. Intel integrates AI seamlessly across its hardware and software technologies, supporting generative AI workloads and driving innovations like AI PC and AI at the edge. In this curriculum, you'll delve into Deep Learning, Machine Learning, and Generative AI, and learn to navigate AI challenges using industry models tailored to data parameters. Learn how to offer solutions from Intel's diverse portfolio, including CPU, GPUs, accelerators, technologies, software, and toolkits, for ease of AI solution deployments.e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming. What does AI Everywhere mean? What product should I consider for what applications or AI development stage? Learn all this and get sales guidance around AI from client to edge and cloud. 1 reading1 assignment1 plugin Contrary to popular belief, Nvidia GPUs are not the ONLY viable AI solution in the data center. Intel delivers outstanding solutions ranging from Intel® Xeon® CPUs to GPUs (GPU MAX and GPU FLEX) to Intel® Gaudi® 2 AI accelerators. This module highlights how Intel solves business challenges with AI and offers compelling alternatives to Nvidia 1 reading1 assignment1 plugin It is of huge importance for Intel to establish that AI runs on PCs. Intel® Core™ processors and Intel® ARC™ GPUs enable many inference use cases on client systems. This module will educate you on the AI applications and how Intel Core CPUs with neural processing unit (NPU), and Intel ARC GPUs enable these use cases. 1 assignment1 plugin AI is enabling business transformations everywhere across the network and edge. Vision, language, and other use cases deploy AI across the edge--across a broad array of locations--in manufacturing, smart cities, transportation, and networking. Learn about the tools and enablement for edge deployments in this module. 1 reading1 assignment1 plugin Intel® Xeon® processors can be a great fit for AI, from ML/DL applications and even Generative AI. Note that while inference is a certain target AI use case we can also sell into retraining and fine tuning with Intel Xeon processors. 1 assignment1 plugin This module will provide a foundational overview of Intel® Gaudi® AI accelerators, ensuring that everyone can grasp the core concepts including MLPerf results. 2 readings1 assignment1 plugin The matrix multiplication acceleration provided by Intel® Advanced Matrix Extensions (Intel® AMX) in Intel® Xeon® CPU Max makes it an exceptional value for AI. Pairing that acceleration with the increased memory bandwidth of the Intel® Xeon® CPU Max provides even better performance on many workloads and can greatly speed up workflows where AI is used to augment HPC as well as in LLM Inference. This submodule will provide a summary of the technical characteristics, their benefits, and performance results to show how customers and users can make use of these technologies to solve their problems within the Intel® Xeon® CPU ecosystem they already know and love. 1 reading1 assignment1 plugin Understand how Intel® Data Center GPU Max Series is a viable solution for your growing demand for AI and general-purpose workloads. In this course you will learn the basics of the technology, its software and framework readiness, and examples of where to use it effectively. 2 readings1 assignment1 plugin Understand how Intel® Data Center GPU Flex Series is a viable solution for your growing demand for AI and general-purpose workloads. In this course, you will learn the basics of the technology, its software and framework readiness, and examples of where to use it effectively. 1 reading1 assignment1 plugin oneAPI AI ToolKit, IPEX, OpenVINO™ - Learn the basics of positioning Intel AI Software 1 reading1 assignment1 plugin ChatGPT and other massive models represent an amazing step forward in AI that is moving at light speed. This course will survey how the AI ecosystem has worked non-stop to take these all-purpose multi-task models and optimize them so they can be used by organizations to address domain-specific problems. Learn how Intel can help you become a trusted thought leader who can demystify this topic for your partners and customers. 2 readings1 assignment1 plugin A lot of AI preparation, development, prototyping, and increasingly, deployment is happening on workstations. Workstations liberate the AI developer and data scientist from negotiating server time while also providing the increased memory capacity and cores to handle larger AI datasets that would cripple a consumer PC or laptop. With an AI Workstation from Intel, organizations benefit from a robust platform for AI experimentation, thus avoiding expensive production costs. Finally, with the growth of Generative AI and Small Language Models (SLMs), the AI Workstation from Intel offers a compelling solution for enterprises to maximize their AI investments. By using industry-specific and proprietary data with SLMs in a workstation, enterprises can achieve multiple objectives: efficiency, accuracy, customization, and security. 2 readings1 assignment1 plugin AI is the defining workload of our time, and organizations are racing to adopt AI into their businesses and services. At the same time, governments around the world are passing new regulations to help ensure AI evolves in a way that is secure, trustworthy, and respectful of individual privacy. Confidential AI is a method to protect the data and model while it is actively in use, helping organizations stay compliant with regulations and protect their IP. 1 reading1 assignment1 plugin Congratulations you are complete. 1 reading

14 modules

Intermediate level

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/intel-solutions-pro-principles-ai-everywhere

Nuclear fuel management: a practical approach Specialization

Enrollment number not found

4.9

Juan Luis François Lacouture

Universidad Nacional Autónoma de México

[]

The specialized program is divided into three MOOCs: Front-end of the nuclear fuel cycle, Back-end of the nuclear fuel cycle, and In-core fuel management. The student will navigate the Integrated Nuclear Fuel Cycle Information System, of the International Atomic Energy Agency, to learn about the nuclear fuel cycle facilities around the world, uranium deposits, including their classification, technical information, detailed geological information on regions, districts, and deposits; and the thorium database, which includes details of thorium deposits and resources in the world. In addition, the student will develop skills to estimate the requirements for materials and services associated with the stages of the nuclear fuel cycle, to perform basic calculations for nuclear fuel and reactor core design, as well as to calculate the levelized nuclear fuel cycle cost. Applied Learning Project Based on case studies, one for each of the three MOOCs, assessment tests and practical assignments, the student will discover and understand the different stages of the nuclear fuel cycle, as well as the fundamentals of in-core fuel management. After completing MOOC 1, the student will be able to calculate the masses of materials associated with each stage of the front-end. After completing MOOC 2, the student will be able to calculate the composition, the decay heat, and the radiotoxicity of the spent fuel. After completing MOOC 3, the student will be able to estimate the fuel batch reload fraction and its enrichment for an equilibrium cycle, to perform basic calculations for nuclear fuel and reactor core design, and to calculate the levelized cost of the open (once-through) nuclear fuel cycle. You will be will be able to recognize and describe the basic principles of the different steps of the front end of the fuel cycle, will be capable to find updated information and knowledge about the subject of study and will have the skills to perform basic calculations of the front end of the nuclear fuel cycle. After completing this MOOC, the student will be able to recognize and describe the basic principles of the different steps of the back end of the fuel cycle, will be capable to find updated information and knowledge about the subject of study and will have the skills to perform basic calculations of the back end of the nuclear fuel cycle. Upon completion of this MOOC, students will gain comprehensive knowledge in nuclear fuel management and reactor core design. They will learn to list and understand the basic parameters involved in in-core fuel management, including the estimation of fuel batch reload fraction and enrichment for equilibrium cycles using the linear reactivity method. The course will also cover the core aspects of reactor core design, the stages of fuel reloads design, and the principles of nuclear fuel assembly design, including the role of burnable poisons. Students will delve into the various aspects of fuel assembly design, both radial and axial, and learn to identify and solve optimization problems in these areas using metaheuristic techniques. Additionally, they will explore core loading pattern design, control rod pattern design, and the associated requirements and knowledge rules. Another significant aspect of the course is the application of metaheuristic optimization approaches to tackle complex design problems in nuclear fuel management. Students will learn to interpret and apply these techniques to optimize radial fuel lattice design, axial fuel assembly design, and core loading pattern design.

3 course series

Intermediate level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/nuclear-fuel

How to Create and Explore a Data Set

Enrollment number not found

Rating not found

Mike Stadler, PhD

American Psychological Association

['Frequency Distribution', 'Jamovi', 'Data Set Analysis', 'Statistical Software', 'Graphing']

This course provides a comprehensive introduction to data analysis, focusing on the understanding and interpretation of data sets. Students will learn to describe data sets, characterize variables, create and interpret graphs, and identify and interpret frequency distributions using jamovi. The course also emphasizes the critical evaluation of data presentation, teaching students to discern the appropriate use and potential misuse of graphs. This module introduces you to your PsycLearn Essentials course. Find out what’s included in this course and how to navigate the modules and lessons. You’ll also learn valuable study tips for successful learning. 2 videos8 readings This module provides a variety of information and tools from the American Psychological Association (APA) that will help inspire you as you complete your coursework and plan your career goals. Get discounted access to Academic Writer, APA’s online tool for writing effectively, as well as valuable advice that will help you develop and strengthen your skillset for learning success and future employment. Additionally, explore resources on various psychological issues. This module also includes APA resources on scholarly research and writing; a list of sites providing valuable resources on diversity, equity, and inclusion in psychology education and in the professional community; resources on a career in psychology; and links to career opportunities at the APA. You can also view videos that offer tips on dealing with stress. 8 readings Once data have been collected, we must confront the question, “How do we summarize these data clearly and efficiently?” Graphs can help answer this question. We will explore the use and misuse of graphs, along with applications of the most common types of graphs. 1 video1 reading There is much talk around the world about big data and analytics. Imagine the amount of data that big companies have stored up by recording every interaction with a customer. What did the customer search for? What did the customer purchase? How much does a given customer spend in an average order, or over the course of a year? The data must be organized and structured in very particular ways or it would be worthless. The same is true of observations in psychological science, or any science. The observations must be collected and stored in an organized way so that they may be useful for later analysis. This module introduces basic concepts about how data sets are organized and inspected. 4 videos4 readings6 assignments This module explores the general nature of graphical representations of data and their usefulness, and then specifically explores the use of frequency distributions for different types of data. 2 videos4 readings3 assignments In this module, we explore the use of bar graphs and histograms to describe a data set. We also introduce the jamovi statistical analysis software program, which we then use to create bar graphs and histograms. 7 videos2 readings3 assignments 2 readings1 assignment

7 modules

Beginner level

3 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/data-sets

Fundamentals of Data Analytics in the Public Sector with R

7,052

4.7

Christopher Brooks

University of Michigan

['Piblic Administration', 'Data Analysis', 'R basics', 'Tydiverse', 'Custom R functions']

Gain a foundational understanding of key terms and concepts in public administration and public policy while learning foundational programming techniques using the R programming language. You will learn how to execute functions to load, select, filter, mutate, and summarize data frames using the tidyverse libraries with an emphasis on the dplyr package. By the end of the course, you will create custom functions and apply them to population data which is commonly found in public sector analytics. Throughout the course, you will work with authentic public datasets, and all programming can be completed in RStudio on the Coursera platform without additional software. This is the first of four courses within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector. Welcome to the Data Analytics in the Public Sector with R and the First Course—Fundamentals of Public Sector Data Analysis with R. This week will be your orientation to the certificate and the first course. You will also get to learn several fundamental terms and their definitions that we will frequently use throughout the course and the certificate. 5 videos7 readings1 assignment1 discussion prompt1 ungraded lab Welcome to Week 2! You will start this week learning about the core functions of public administration and the role of data analytics in these functions. You will also start developing your skills with RStudio. 13 videos3 readings2 assignments1 discussion prompt Welcome to Week 3! You will learn this week several analysis skills for survey data—one of the most common types of data in the public sector. These skills will allow you to not only understand how survey data could be designed and collected, but also how to analyze such data in RStudio and how to interpret them. 14 videos2 readings4 assignments Welcome to Week 4! You will learn this week several analysis skills for population data—one of the most common types of data in the public sector that allow answering basic population questions. These skills will allow you to not only understand the sources of population data, but also how to analyze such data in RStudio and how to interpret them. 7 videos1 reading4 assignments Welcome to Week 5, the last week in this course! This week, you will get to hear stories from public sector data analysts, with the goal of recognizing the challenges associated with the profession of a data analyst. 4 videos1 reading1 assignment2 discussion prompts

5 modules

Intermediate level

14 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/fundamentals-of-data-analytics-in-the-public-sector-with-r

English and Academic Preparation - Pre-Collegiate

148,692

4.7

Alice Llanos

Rice University

['academic reading', 'oral presentations', 'Academic Writing', 'note-taking', 'listening']

The English and Academic Preparation - Pre-Collegiate non-credit course is for students with a (minimum) high-intermediate level of English. This certificate course is designed to help domestic and international students develop the academic skills necessary for success in undergraduate studies at an American university while strengthening their English proficiency. Ideally, prospective students have completed or are near completion of a high school diploma in their country and would like to come to the United States to study for a bachelor’s degree. The total length of time required to complete the course is approximately 4 weeks. Students should expect to spend about 5-7 hours per week working with the materials and assignments. The course is made up of 4 modules: • Listening, Speaking, and Critical Thinking • Writer’s Workshop • Reading and Note-taking • Capstone Project Each module consists of video lessons, opportunities for practicing English and academic skills, interactive discussion boards with classmates, and graded activities. All courses are asynchronous, which means that the lessons and their activities can be completed at any time of day or night, provided that all course assignments are completed by the final day of class. In this module, we will learn some skills necessary for listening to and speaking about academic topics at the undergraduate level. 5 videos7 readings6 assignments1 peer review1 discussion prompt In this module, we will learn some skills necessary for academic writing at the undergraduate level. 4 videos7 readings7 assignments1 peer review In this module, we will learn some skills necessary for reading and taking notes about academic texts and at the undergraduate level. 4 videos8 readings8 assignments1 peer review The Pre-Collegiate application project is the final module of the English and Academic Preparation Program. In this module, you will not learn new information as you did in the previous modules, but rather apply the knowledge and skills you learned from the other modules in this academic certificate in order to complete a series of four tasks. 1 reading2 peer reviews

4 modules

Beginner level

https://www.coursera.org/learn/glasscock

98%

Electronic Music Performance Techniques

7,681

4.2

Rishabh Rajan

Berklee

['Music Arrangement', 'Music', 'Electronic Digital Instrument', 'Performance Technique', 'Live Looping']

From the Moog analog synthesizers in the 1960s to the contemporary usage of computers, performance controllers, and mobile devices, Electronic Digital Instruments (EDIs) have long been capable of offering artists a new range of musical expression. In this one-of-a-kind course, you’ll learn the essential skills you need to perform on an EDI. Your instructor is EDI musician and Berklee College of Music associate professor Rishabh Rajan. He will take you through the basics of EDI performance and give you pointers on how to build an arrangement on your EDI. Whether you have just ordered your first pad-controller or have already been experimenting with electronic music, you’ll learn the basics of performing and arranging on the EDI. You will start by building drum beats and reading drum notation. Then you will create bass lines and harmonic accompaniment. Finally, you will learn how to live loop all of these elements and perform an arrangement for a live audience. Welcome to the course! Here we will cover all the details about the course and what you'll need to know to get the most out of your experience. 3 videos6 readings1 assignment In this first lesson, we will practice several basic drum patterns as well as look at how to create more complex drum tracks for your original songs. We will also discuss how you can program a song into your EDI to discover new ideas. Finally, we will learn how to live loop drum patterns using Ableton Live. 6 videos2 assignments1 discussion prompt In this second lesson, we will look at how to play harmonic accompaniment on the EDI. We will play through several basic chord progressions and learn to play extended chords such as 7th's and 9th's. Finally, we will practice recording and looping harmonic parts. 6 videos1 reading2 assignments1 discussion prompt Now that we have learned some basics on the EDI, it is time to start building a composition. In this lesson we will discuss how to develop an interesting bass line as well as how to improvise melodies using the Minor Blues Scale. By the end of the lesson, you will be able to create your own bass line for your original composition and practice improvising melodies on top of it. 4 videos2 assignments1 discussion prompt In this lesson we will put together everything we have learned so far to create an arrangement to perform in front of an audience. We will discuss how to create our own sounds on Ableton and we will practice creating arrangements that build and entertain our audience. By the end of this lesson, you will be able to perform your own arrangement. 6 videos1 reading1 assignment1 peer review

5 modules

Intermediate level

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/edi-performance-techniques

AR (Augmented Reality) & Video Streaming Services Emerging Technologies

12,434

4.7

Jong-Moon Chung

Yonsei University

[]

Welcome to the course “Augmented Reality & Video Service Emerging Technologies.” The level of AR (Augmented Reality) and advanced video & multimedia technology included in a product is what determines the level of value and luxury. The objective of this course is to teach all important technologies that are used in state-of-the-art AR, Skype, and YouTube video and multimedia products and services. This includes the advanced video and real-time multimedia delivery mechanisms based on H.264/MPEG-4 AVC, MPEG-DASH, CDN, and mobile CDN. If you have knowledge of these core technologies, you can understand the operations that are used in every advanced video and multimedia system in the World. As the future World of business and products are driven to be more and more video and multimedia oriented, having knowledge of these core technologies will enable you to lead your company to become the true World leader in AR and video multimedia technology products, services, and business. Thus, I cordially welcome you into the beautiful and powerful World of advanced AR and video multimedia! The first module “AR Applications, Products & Business” focuses on the variety of AR (Augmented Reality) applications, technologies, products, and businesses. The lecture starts with the definitions and characteristics of AR and explains the differences of AR and VR (Virtual Reality). Then the advantages of various AR UI (User Interface) types, which include handheld AR displays (e.g., smartphones), AR eyeglasses, and HMDs (Head-Mounted Displays) are covered. In addition, AR business models and an analysis of the AR market, which includes the AR/VR headset market share, Worldwide AR/VR headset forecast, AR/VR market size by segment, and AR/VR market size forecasts are described. 6 videos2 assignments The second module “AR Technology” focuses on AR (Augmented Reality) technologies, operation workflow, and Cloud support technologies. First, the features of AR technological components, and the role of AR feature detection/description technology and the IPD (Interest Point Detection) process is introduced. Second the advantages of AR cloud cooperative computation and AR cloud offloading is covered. In addition, the types of AR feature extraction descriptor types, feature detector requirements, and influencing factors are covered. 5 videos2 assignments The third module “SIFT SURF FAST BRIEF ORB BRISK” focuses on all of the core feature extraction technologies used in AR (Augmented Reality), which include SIFT, SURF, FAST, BRIEF, ORB, and BRISK. As feature extraction is the most important (and computation burdening and time consuming) procedure of the AR process, the variety of technologies applied in state-of-the-art AR devices are studied in detail in this module. The lectures cover the characteristics of the AR IPD (Interest Point Detection), feature detection, and description schemes, which include SIFT (Scale Invariant Feature Transform), SURF (Speed-Up Robust Feature), FAST (Features from Accelerated Segment Test), BRIEF (Binary Robust Independent Elementary Features), ORB (Oriented FAST and Rotated BRIEF), and BRISK (Binary Robust Invariant Scalable Keypoints). 7 videos2 assignments The fourth module “Skype, YouTube & H.264/MPEG-4 AVC” focuses on the two most famous video service types that exist in the World. Skype is the most widely used video conferencing and VoIP (Voice over IP) application service in the World, which is now included in various Microsoft products, making video and voice communications possible from practically anywhere an Internet connection is available. YouTube is the World’s most widely used video service application service. The lectures cover the history of Skype and YouTube and also the evolution of their video and audio codec technologies. In addition, the lecture covers the details of the state-of-the-art H.264/MPEG-4 AVC video media technology that is currently used by Skype and YouTube. 4 videos2 assignments The fifth module “Video Streaming & MPEG-DASH” focuses on advanced video streaming techniques and details on MPEG-DASH (Moving Picture Experts Group - Dynamic Adaptive Streaming over HTTP) technology. First, the differences in Push vs. Pull based media streaming is covered along with the operation process of Pull based adaptive media streaming. Second, the types of video frames along with the structure of the fragmented MP4 file and GOP (Group of Pictures) are studied. Third, HTTP (Hypertext Transfer Protocol) versions 1.0~2 and the DASH scheme is explained followed by examples of the YouTube MPEG-DASH progressive downloading process. Fourth, the standardization of ISO/IEC 23009-1 based MPEG-DASH specifications and the operation process of MPEG-DASH MDP (Multimedia Presentation Description) hierarchical data and MPD decoding & playing methods are covered. 6 videos2 assignments The sixth module “CDN Video Streaming Technology” focuses on the necessity and operations of advanced video service CDN (Content Delivery Network) technologies. First, the CDN structure and the operation process of CDN hierarchical content delivery is covered. Second, the CDN market value, market size, service providers, and the role of the Telcos, CDN providers, operators, and market regions are studied. Third, details on CDN cooperative caching and content routing, Query based scheme, Digest based scheme, Directory based scheme, Hashing based scheme, and the Semi-hashing based scheme are covered. Fourth, content aging and updating operations along with CDN popularity prediction and contents update techniques (with operational examples of the LRU (Least Recently Used) and LFU (Least Frequently Used) strategies) are covered in the lectures. In addition, the differences in CDN vs. Mobile CDN technology are discussed. 5 videos2 assignments The seventh module “AR Smartphone Project” focuses on two AR smartphone projects using the IKEA Catalog and Google Translate applications. First the operation features of the IKEA Catalog and Google Translate AR applications are studies in the project. Second the limitations of the operation process of these AR applications are tested to recognize how the brightness levels, shined light angles, shape and size of the area and object, distance, font and texture types, and language translations types can influence the accuracy of the AR operations. 2 videos1 peer review

7 modules

Beginner level

10 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/ar-technologies-video-streaming

Build and Operate Machine Learning Solutions with Azure

8,197

3.8

Microsoft

Microsoft

['Modeling', 'Microsoft Azure', 'Data Security', 'Machine Learning']

Azure Machine Learning is a cloud platform for training, deploying, managing, and monitoring machine learning models. In this course, you will learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions. This is the third course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. Azure Machine Learning provides a cloud-based platform for training, deploying, and managing machine learning models. In this module, you will learn how to provision an Azure Machine Learning workspace. You will use tools and interfaces to work with Azure Machine Learning and run code-based experiments in an Azure Machine Learning workspace. finally, you will learn how to use Azure Machine Learning to train a model and register it in a workspace. 8 videos9 readings4 quizzes2 assignments1 discussion prompt Data is the foundation of machine learning. In this module, you will learn how to work with datastores and datasets in Azure Machine Learning, enabling you to build scalable, cloud-based model training solutions. You'll also learn how to use cloud compute in Azure Machine Learning to run training experiments at scale. 8 videos9 readings1 quiz4 assignments Orchestrating machine learning training with pipelines is a key element of DevOps for machine learning. In this module, you'll learn how to create, publish, and run pipelines to train models in Azure Machine Learning. You'll also learn how to register and deploy ML models with the Azure Machine Learning service. 7 videos10 readings3 quizzes2 assignments Machine learning models are often used to generate predictions from large numbers of observations in a batch process. You will accomplish this using Azure Machine Learning to publish a batch inference pipeline. You will also leverage cloud-scale experiments to choose optimal hyperparameter values for model training. 6 videos6 readings4 quizzes1 assignment In this module, you will learn how to use automated machine learning in Azure Machine Learning to find the best model for your data. You will learn how differential privacy is a leading edge approach that enables useful analysis while protecting individually identifiable data values. You will also learn about the factors that influence the predictions models make. 13 videos8 readings7 assignments Machine learning models can often encapsulate unintentional bias that results in unfairness. In this module, you will learn how to use Fairlearn and Azure Machine Learning to detect and mitigate unfairness in your models. You will learn how to use telemetry to understand how a machine learning model is being used once it has been deployed into production. Finally, you will learn how to monitor data drift to ensure your model continues to predict accurately. 13 videos8 readings7 assignments1 discussion prompt

6 modules

Intermediate level

31 hours to complete (3 weeks at 10 hours a week)

https://www.coursera.org/learn/build-and-operate-machine-learning-solutions-with-azure

Introduction to Sustainability

157,160

4.8

Dr. Jonathan Tomkin

University of Illinois Urbana-Champaign

[]

This course introduces the academic approach of Sustainability and explores how today’s human societies can endure in the face of global change, ecosystem degradation and resource limitations. The course focuses on key knowledge areas of sustainability theory and practice, including population, ecosystems, global change, energy, agriculture, water, environmental economics and policy, ethics, and cultural history. This subject is of vital importance, seeking as it does to uncover the principles of the long-term welfare of all the peoples of the planet. As sustainability is a cross-disciplinary field of study, this foundation requires intellectual breadth: as I describe it in the class text, understanding our motivations requires the humanities, measuring the challenges of sustainability requires knowledge of the sciences (both natural and social), and building solutions requires technical insight into systems (such as provided by engineering, planning, and management). In this module, you will become familiar with the course, your classmates, and the learning environment. The orientation also helps you obtain the technical skills required for the course. In the introduction, we will examine some of the central ideas that underpin the Earth as a system, and their consequences for environmental sustainability. 5 videos5 readings3 assignments1 plugin In this module, we will see how human populations have evolved over time and get a sense of where the next century of change will take us. 5 videos1 reading4 assignments In this module, we will see that the Earth faces many environmental pressures that result from human exploitation of natural resources. We will also look at the issue of climate change. 8 videos1 reading4 assignments1 peer review In this module, we will look at energy use. We will also consider what the trend of energy use means for the planet, and how we might transition to a more sustainable pattern of use. 8 videos1 reading4 assignments In this module, we will explore the connection between water and food, and see what will be required to feed the planet over the course of the century. 6 videos1 reading3 assignments In this module, we will examine some of the common tools used by policy-makers, and some of the forces that shape (or misshape) policy. 9 videos1 reading3 assignments1 peer review In this module, we will examine what tools are available to measure sustainability. Finally, I will make some predictions on global sustainability for the 21st century, based on the models we have spoken about in this course and the trends that have been observed in the early part of this century. 7 videos1 reading3 assignments1 peer review Welcome to the end of the course! This module has a final, comprehensive quiz that covers all of the topics that we’ve seen in the previous seven modules. You’ll want to be familiar with the goals and objectives, key phrases, concepts, and guiding questions from the earlier modules to do well on this final quiz. 1 reading1 assignment1 plugin

8 modules

24 hours to complete (3 weeks at 8 hours a week)

https://www.coursera.org/learn/sustainability

96%

Cloud Deployment and Scaling with ASP.NET Core

Enrollment number not found

Rating not found

EDUCBA

EDUCBA

['Cloud Computing', 'Web Application', 'Deploying Asp .Net', 'Security Considerations in Cloud Deployment']

Embark on a transformative journey into the dynamic landscape of cloud computing with our specialized course on deploying and scaling ASP.NET Core applications. In today's technology-driven world, the efficient deployment and scaling of applications in the cloud are indispensable skills. This module, designed with precision, delves into cloud deployment and scaling strategies, offering a tailored approach specifically for ASP.NET Core applications. Learning Outcomes: Mastery of Cloud Deployment, Scalability Expertise, and Cloud Power Unleashed. By the end of this immersive learning experience, you'll gain proficiency in seamlessly deploying and scaling ASP.NET Core applications in cloud environments through a curriculum enriched with practical examples. You'll unlock the ability to harness the full potential of the cloud, ensuring your applications achieve optimal performance, scalability, and availability. We recommend a foundational understanding of ASP.NET Core and familiarity with basic cloud computing concepts. While prior knowledge of C# is advantageous, it is not mandatory. This course is designed to accommodate you with varying levels of expertise, making it accessible to a broad audience. This course positions you for roles such as Cloud Application Developer, where you'll specialize in deploying and optimizing ASP.NET Core applications. Alternatively, you can pursue opportunities as a Cloud Solutions Architect, shaping resilient cloud architectures. DevOps Engineer roles also become accessible, empowering you to streamline deployment pipelines and ensure efficient, automated deployment in diverse cloud ecosystems. Elevate your skill set and career prospects by enrolling in this course — where the fusion of theory and hands-on practice propels you into the forefront of cloud deployment for ASP.NET Core applications. This module provides a concise yet comprehensive introduction to cloud computing. You will describe fundamental cloud computing concepts and differentiate key characteristics, laying a solid foundation. Moving forward, you will identify and compare significant cloud providers, enabling you to make informed decisions. You will recognize the distinctive services offered by providers such as Azure, AWS, and Google Cloud, empowering you to align your cloud strategy with organizational needs. This module ensures a holistic understanding of cloud computing essentials, essential for professionals seeking to navigate the dynamic landscape of cloud services. 4 videos5 readings3 assignments1 discussion prompt This module equips you with essential skills for cloud infrastructure management. You'll interpret the intricacies of configuring cloud infrastructure, creating virtual machine networks, and establishing storage and databases. Moving forward, you will understand the deployment process for web applications in the cloud, evaluate deployment options, and gain practical experience deploying ASP.NET Core applications. The module explains proficiency in monitoring and scaling cloud resources, implementing auto-scaling, load balancing, and formulating backup and disaster recovery strategies. You will emerge well-prepared to navigate the complexities of cloud infrastructure and optimize application deployment in dynamic cloud environments. 10 videos6 readings4 assignments1 discussion prompt This module guides you through the fundamentals of scaling, emphasizing its significance and exploring strategies for scaling web applications. You will delve into load balancing, understand its benefits, and gain hands-on experience configuring load balancers in cloud environments. The module concludes by predicting concepts of auto-scaling and elasticity, empowering you to configure policies and triggers for auto-scaling. A practical scenario allows you to apply elasticity to web applications, ensuring you acquire the skills to optimize resources dynamically in cloud environments. 8 videos4 readings4 assignments1 discussion prompt This module explores the critical elements of system reliability, emphasizing the importance of high availability (HA) and investigating strategies to achieve it. You will delve into the functions of redundancy and load balancing. The module then shifts focus to planning a comprehensive approach to backup and recovery, including the establishment of automated backup strategies and the execution of data recovery processes. Lastly, you will prepare for an understanding of system failures and outages, implementing strategies for failover and redundancy to ensure seamless operations even in challenging scenarios. 4 videos6 readings4 assignments1 discussion prompt

4 modules

Intermediate level

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/cloud-deployment-and-scaling-with-asp-net-core

Integrated and Strategic Communication Campaigns

1,948

4.7

Erin Willis

University of Colorado Boulder

['Strategic Management', 'Marketing Communications', 'Public Relations', 'Advertising Campaign', 'Business Strategy']

Welcome to "Integrated and Strategic Communication Campaigns", the first course of the specialization, Strategic Communication Campaigns. Ever wanted to "get the word out" or create "buzz" for your organization? This course will leave you knowing how to deliver the right message to the right audience at the right time via the right channel. You will get started by understanding the best practices for communication campaigns and learning the basics around how to tell the story that represents your brand well. You will then be able to take that story to the right channels so that it gets told internally and externally from an organizational point of view. In the final week, you will take a closer look at communication campaigns from other brands to understand how paid, earned, shared, and owned media are used. By the end of this course, you will have encountered multiple examples and strategies for strategic communication campaigns that will have you feeling more confident about creating one on your own! Welcome to the course, "Integrated and Strategic Communication Campaigns"! To set your self up well for any future campaign, you will want to start with planning it first. In this first week, you will do the same. After learning the basics about planning, you will be introduced to the PESO model, which strategically leverages communication so as to "get the word out" and create "buzz" for your organization. Then, you will learn how to glean insight from research by segmenting audiences and begin to think about how to use persuasive communication to solve organizational problems. This allows you to deliver the right message to the right audience at the right time via the right channel. 9 videos2 readings1 assignment1 discussion prompt This week, you will learn about brand basics and how the architecture of a brand sets forth a guide for strategic communication. We will discuss the importance of brand mission and core values, and how your brand should act with purpose to create authenticity and drive stakeholder relationships, including among employees. We will talk about how to leverage your employees to be ambassadors of your brand's mission so they help to tell your brand's story. The purpose of a brand and what it stands for matters! 9 videos2 readings1 assignment1 discussion prompt In this week, you will understand how to identify various target audiences and how to segment them in strategic communication planning. We will discuss the importance of audience research and how to develop insight that connects your brand's message to audience's interests. By the end of this week, you will be crafting the right messages for the right audience. 8 videos1 reading1 assignment1 discussion prompt In this final week, you will take a closer look at communication campaigns to understand how paid, earned, shared, and owned (PESO) media are used. We will discuss the the different types of communication campaigns, their purposes, and when to use them. You will look at how other brands have used PESO media to communicate for a strategic purpose because examining other strategic communication campaigns will better help you to better understand the different components required. Seeing a full communication campaign will help you to plan your own. 5 videos1 reading1 assignment1 discussion prompt

4 modules

Beginner level

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/integrated-and-strategic-communication-campaigns

Organizational Analysis

192,533

4.6

Daniel A. McFarland

Stanford University

['Management', 'Organizational Theory', 'Organizational Analysis', 'Organizational Culture']

In this introductory, self-paced course, you will learn multiple theories of organizational behavior and apply them to actual cases of organizational change. Organizations are groups whose members coordinate their behaviors in order to accomplish a shared goal. They can be found nearly everywhere in today’s society: universities, start-ups, classrooms, hospitals, non-profits, government bureaus, corporations, restaurants, grocery stores, and professional associations are some of many examples of organizations. Organizations are as varied and complex as they are ubiquitous: they differ in size and internal structure; they can entail a multiplicity of goals and tasks (some of which are planned and others unplanned!); they are made up of individuals whose goals and motivations may differ from those of the group; and they must interact with other organizations and deal with environmental constraints in order to be successful. This complexity frequently results in a myriad of problems for organizational participants and the organization’s survival. In this course, we will use organizational theories to systematically analyze how an organization operates and can best be managed. Organizational theories highlight certain features of an organization’s structure and environment, as well as its processes of negotiation, production, and change. Each provides a lens for interpreting novel organizational situations and developing a sense for how individual and group behaviors are organized. Theories are valuable for the analyst and manager because most organizational problems are unique to the circumstances and cannot be solved by simple rules of thumb. Armed with a toolset of organizational theories, you will be able to systematically identify important features of an organization and the events transforming it; choose a theoretical framework most applicable to the observed mode of organizing; and use that theory to determine which actions will best redirect the organization in desired directions. In sum, the course has three goals: to become familiar with a series of real-world organizational phenomena; to learn different theoretical perspectives that can elucidate these phenomena; and to apply these different ways of “seeing” and managing organizations to cases. In such a fashion, the course is designed to actively bridge theory and practice, exposing students to a variety of conceptual tools and ways to negotiate novel situations. 11 videos1 assignment In this module, we will present a general introduction and discussion to decision-making in organizations. We will relate various rational system views of organizations that tend to focus on administrative units, or leaders of organizations. 11 videos1 assignment This module will give a more elaborate depiction of that model, and focus on its core process of exchange and coalition formation. Within organizations, you will frequently confront coalitions of interests, and you will come to realize that collective action and organizational reforms are impossible if you do not build and manage a coalition to get things done. Therefore, we turn now to Coalition theory. To relate this theory, throughout this chapter we will draw heavily on the writings by James G March (1962, 1994: chapter 4) and Kevin Hula (1999) concerning coalition formation. 11 videos1 assignment This module introduces you to the basic features of decision making in organized anarchies, or what some call a “garbage can theory’ of organizations. What do we mean that the decision process resembled an organized anarchy? Well, for example, some of them have a hard time coming up with their group’s platform and identity. Also, some of the group’s proposed solutions changed over the course of bargaining – some initially proposed universal vouchers only to promote targeted vouchers in the end. Almost all of the groups thought in terms of an identity and what that entailed. And they also thought about other’s identities and interests when trying to manipulate the situation in their favor. 8 videos1 assignment In this module, we will describe the theory of organizational learning and what it entails. In the most general terms, the organizational learning perspective concerns adaptation and learning from experience. But how does an organization learn? Organizations learn by encoding inferences from history into organizational structures (so best practices into rules, routines, and roles), people, technologies (curricula), and culture (norms, beliefs) that guide behavior. That is, organizations reflect on what works well or not, and then encode that knowledge into its organizational elements (participants, technology/tasks, social structure) so it can remember. 12 videos1 assignment In this module, we will cover organizational culture. We will look carefully at Gideon Kunda’s book, Engineering Culture, to put into question the organizational culture ideal. Within an organizational culture, actors make sense of their existence according to identities and norms, and these are often constructs afforded by the organization they are in. Think of the culture at firms like Apple or Facebook – all have an identity and norms surrounding their performance of it. As such, the motive in an organizational culture is the expression and fulfillment of an identity – a strong intrinsic motivator! An organizational culture entails normative (valued) and cognitive (implicit) aspects of organizational social structures. These are deep structural facets that guide interaction. 11 videos1 assignment The theory we will discuss in this chapter is Resource Dependence Theory, and it views an organization in terms of its resource dependencies with other firms in the environment. 11 videos1 assignment In this module, we will describe how organization’s researchers look at social networks within organizations. In addition, we will describe how some theorists contend there is a network form of organization that is distinct from hierarchical organizations and markets. So we will relate two perspectives: a purely analytic one that describes networks within organizations, and a theoretical one concerning a prescribed form of inter- organizational association that can result in better outputs. 13 videos1 assignment In this module, we will continue our discussion of organizations as open-systems whose survival depends on their relation with the environment. In particular, we will discuss one of the prevailing organizational theories stemming from sociology, called “neoinstitutional theory.” In oversimplified terms, one can think of neoinstitutional theory as arguing that an organization’s survival de- pends on its fit with the cultural environment. That is, a firm’s success depends on whether it adopts structures that are deemed rational and legitimate in the external environment; that the firm mirrors environmental beliefs about what a legitimate organization of that type should look like. Neoinstitutional theory has always been one of the harder theories for students to fully grasp, so we have organized the chapter to be a little repetitive. We will discuss many of the core concepts twice and relate them in different ways so you get a better sense for what this theory conveys. 11 videos1 assignment In this module, we conclude our study of organizations as open systems whose survival and success depends on their reaction to the environment. We introduce a 10th and final theory called “Population Ecology”. There is a long history of work that applies biological and natural selection metaphors to organizations (Scott 2003:117; Davis and Powell 1992:342-354), let alone to the study of society. 12 videos1 assignment Final exam for the course. 1 assignment

11 modules

Beginner level

https://www.coursera.org/learn/organizational-analysis

95%

Lightcap 4: Light in indoor contexts Effects & implications

Enrollment number not found

Rating not found

Yvonne de Kort

Eindhoven University of Technology

[]

Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light. LIGHTCAP 4 is titled “Light in indoor contexts”. This MOOC explores the principles of lighting and its effects on humans in various indoor settings. It introduces elements of light and light sources, light distribution indoors, lighting standards, measurements and last, simulations as an important design tool for optimizing indoor lighting. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is in building physics, lighting design and architecture. In this course you will: (1) learn why it is important to consider light in the design and evaluation of indoor environments (2) understand different light sources (daylight & electric lighting) and their properties as well as conceptual strategies for integrative daylighting and electric lighting design (3) take away a general understanding of the ways in which architecture and design play a role in creating light exposures within indoor environments, and the various factors to keep in mind when designing spaces for people (4) learn which metrics (e.g. glare, contrast, luminance) in a person's field of view need to be considered when providing for good lighting, and how to quantify all these elements (5) learn to consider how light exposure profiles are built over time and how the built environment (particularly indoor spaces) influences that (6) learn about standards and guidelines for indoor lighting on important parameters, such as, glare, discomfort and disability, material reflectance, and surface illumination (7) be introduced to the use of simulation tools to quantify the effect of a lighting design. (8) Specifically, you will learn: how to use grasshopper, perform daylight simulations with Ladybug tools, Electric light simulations with Honeybee legacy, and simulations for non-image forming light effects with Lark Spectral Lighting (9) be re-introduced to light metrology, covering metrological quantities (radiance, irradiance, luminance, illuminance etc.) and their physical foundation (10) learn about different types of light measurement devices (spectrometers, photometers, luminance meters and cameras) and their various applications. (11) learn about procedures for static light measurements in indoor light settings (horizontal vs. vertical, grid arrangement, fov etc.) (12) learn about longitudinal dosimetry, covering methodological considerations regarding measurement (device selection, calibration, measurement setup) and data analysis Welcome to LIGHTCAP 4 “Light in indoor contexts”. This course explores the principles of lighting and its effects on humans in various indoor settings. It introduces elements of light and light sources, light distribution indoors, lighting standards, measurements and, simulations as an important design tool for optimizing indoor lighting. The basis of this course is mostly in building physics, lighting design and architecture. 2 videos4 readings In this first lecture, Steffen introduces the course, revolving around the question why it is important to consider light in the design and evaluation of indoor environments. The lecture starts with an overview of the relevant human physiology (the eye, photoreceptors, the visual system, and the non-visual system), and effects of light on psychology, physiology, and behaviour (visual comfort, circadian rhythms, sleep regulation, alertness etc.). This is followed up by examples of how this applies to real world scenarios (shift work, Jetlag, office work etc.), laying the basis for the subsequent lectures in the course. At the end of the lecture the student should understand why it is important to consider light in indoor contexts and how this applies to the rest of the course. 6 videos1 assignment In this lecture, Myrta explains the fundamentals of daylighting and electric lighting design. With the completion of this lecture the student should understand different light sources and their properties as well as conceptual strategies for integrative daylighting and electric lighting design. The lecture will start by describing the different components of daylight (direct sunlight, diffuse skylight and reflected light). The student will learn how to do climate and site analysis and understand the effect of orientation. Different side-lighting and top-lighting strategies will be described using reference pictures. The students will also learn about the properties of different electric light sources, luminaires, and lighting control systems. The lecture will be completed with an exercise where the student will need to produce ideas of applying daylighting and electric lighting in a case study 5 videos1 assignment In this lecture, Megan will discuss how architectural characteristics and lighting design play a role in various lighting conditions and how this affects both the horizontal and vertical plane. We touch on topics of visual comfort and glare, differences between horizontal and vertical measurements, positive and negative aspects of each, and particularly discuss the various daylighting metrics that have been used for daylighting design in architecture (of course horizontal). 11 videos1 assignment In lecture 4, Niko takes the person perspective and asks “what makes for a good lighting here?”. It is followed by a brief explanation of the fish-eye picture and why it is used to illustrate (and analyse) ”personal” lighting in the field of view. Next, there are sub-sections on the elements of luminous environment and general design issues: glare and contrast ratios, expected luminance values, issue of the glare of the screens, good colour rendering for specific activities, orientation towards daylight and importance of access to the view when deciding on workspace layout, behaviour of materials with light, CCT and its mixing in the FoV, shading devices and orientation of the workspace (NWSE) and importance of user control override. Finally, at the end there is a “good design” checklist summarizing the 5 points to consider. 4 videos1 assignment In this lecture, Megan takes a building users’ perspective and introduces the concept of a user light profile that accumulates over a day and over a longer duration of time through space and time. Through simulation and video, the students learn about the concept of considering how users interact with a space throughout a day and tie back to the concept of spatial light exposure as a means of light accumulation. A second factor of behaviour includes a user’s influence on a given space that interrupts certain light exposures – e.g. in response to glare experiences or thermal discomfort, a common reason why people would often pull blinds - and the effects this has on light exposure levels both horizontally and vertically (i.e., spatial light distribution). 5 videos1 assignment In this lecture, Niko explains how standards form a base to ensure functional lighting and provide a good starting reference for the designer of space. The lecture then suggests a good practice to work beyond the standards to provide for other – for example atmospheric, or aesthetical - qualities, especially as standards are also constantly revised to fit the changing times and activities. This is followed by a section explaining how beside lighting levels defined in photopic illuminances and uniformities, lighting for the NIF effects is also getting slowly pushed into the guidelines / standards domain with ongoing research publications. The lecture is then summarized with examples of lighting standards and certificates and its application, also explaining the difference between standard being a regulation, or a guideline in some cases. 4 videos1 assignment This lecture is an introduction to lighting simulation as a method to test lighting design concepts by Myrta. This is a tutorial-based lecture that aims to teach how to quantify the effect of a lighting design. It is assumed that the student does not have prior experience with simulation tools. The students will work on creating a simple simulation model using ClimateStudio (probably). A 3D model will be provided to simplify the process. The students will select location, orientation, material properties, sky conditions, luminaire type and placement and they will calculate different grid- and view-based light metrics. At the end of the lecture, the students will be referred to more advanced lighting simulation tools for further learning. 7 videos1 reading To close this course, Steffen explains the measurement of static and personal light exposure in real world settings. The lecture starts with a brief introduction to light metrology, covering metrological quantities (radiance, irradiance, luminance, illuminance etc.) and their physical foundation. It is followed up by an overview of different types of light measurement devices (spectrometers, photometers, luminance meters and cameras) and their various applications. Next, procedures for static light measurements in indoor light settings are described (horizontal vs. vertical, grid arrangement, fov etc.) and followed by important considerations. Then the process of Dosimetry is described, covering methodological considerations regarding measurement (device selection, calibration, measurement setup) and data analysis (processing, quantification). Finally, the lecture is concluded with a discussion of the relevance, applications and use cases of light measurements, and a case study is given in which students will be asked to describe and discuss the procedure to evaluate the efficacy of a given lighting intervention. 6 videos1 assignment

9 modules

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/lightcap-4-indoor-lighting

Prerequisites and Advanced Machine Learning for NLP

Enrollment number not found

Rating not found

Packt - Course Instructors

Packt

['Linear Regression', 'NumPy', 'Machine Learning', 'Natural Language Processing', 'Data Science']

Embark on a comprehensive learning journey starting with fundamental Python programming, including installation, variable manipulation, and essential data structures like lists, tuples, and dictionaries. Gain proficiency in numerical computations with NumPy and data manipulation with Pandas. Strengthen your mathematical foundation with key linear algebra concepts vital for machine learning algorithms. Progress to data visualization using Matplotlib and Seaborn, interpreting and presenting data effectively. Develop a strong base in simple linear regression and gradient descent, and explore classification techniques with KNN and logistic regression through hands-on case studies. Dive into advanced machine learning algorithms, including regularization techniques and deep learning foundations, tailored for NLP applications. By course end, you'll have a robust understanding of implementing and optimizing machine learning models for NLP tasks, preparing you for advanced projects and career opportunities. Ideal for aspiring data scientists, machine learning enthusiasts, and professionals specializing in NLP, with basic Python and high school-level math knowledge required. In this module, we will introduce the foundational aspects of Python, including installation and basic programming concepts. You will learn about variables, operations, loops, functions, and data structures such as strings, lists, tuples, sets, and dictionaries, preparing you for more advanced Python programming tasks. 18 videos2 readings In this module, we will cover the essential concepts of NumPy, focusing on array operations. You will learn how to perform various computations and manipulations with NumPy arrays, enabling efficient data handling in Python. 3 videos In this module, we will dive into Pandas, a powerful data manipulation library. You will learn about Series and DataFrames, data operations, indexing, merging, and pivot tables, equipping you with the skills to handle complex data analysis tasks. 12 videos1 assignment In this module, we will explore linear algebra concepts crucial for machine learning. You will learn about vectors and matrices, perform various operations, and understand how to extend these concepts to higher dimensions, forming a solid mathematical foundation for advanced topics. 5 videos In this module, we will focus on data visualization techniques using Matplotlib and Seaborn. You will learn how to create and interpret visualizations, work on a case study, and apply these techniques to time series data, enhancing your ability to present and analyze data visually. 4 videos In this module, we will introduce you to machine learning and linear regression. You will learn about the principles and mathematics behind linear regression, as well as how to apply it to real-world data through case studies, preparing you for more complex machine learning algorithms. 10 videos1 assignment In this module, we will cover gradient descent, a fundamental optimization technique. You will learn about its prerequisites, cost functions, optimization methods, and the differences between closed-form solutions and gradient descent, providing a strong basis for learning advanced machine learning algorithms. 8 videos In this module, we will introduce classification and K-Nearest Neighbors (KNN). You will learn about classification principles, how to measure KNN's accuracy and effectiveness, and how to apply KNN to various problems, with practical case studies to reinforce your understanding. 14 videos In this module, we will delve into logistic regression, an essential classification technique. You will learn about the Sigmoid function, log odds, and how to apply logistic regression to a case study, providing a robust understanding of this powerful tool. 4 videos1 assignment In this module, we will explore advanced machine learning algorithms and concepts. You will learn about regularization techniques, model selection, and performance evaluation through practical case studies, enhancing your ability to implement and optimize advanced models. 10 videos In this module, we will introduce deep learning, covering its history, key concepts, and neural network structures. You will learn about training neural networks, activation functions, and representations, providing a comprehensive introduction to this transformative field in machine learning. 10 videos1 reading2 assignments

11 modules

Intermediate level

18 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/packt-prerequisites-and-advanced-machine-learning-for-nlp-xwtax

U.S. Federal Taxation Specialization

21,636

4.8

Michael P Donohoe, PhD, CPA

University of Illinois Urbana-Champaign

['Business Analysis', 'Federal Income Tax', 'Tax Accounting', 'IRS Regulations', 'Pass-Through Entity Taxation', 'Corporate Tax', 'Depreciation', 'Amortization', 'Capital Gains and Losses', 'Property Taxation', 'Business Analysis', 'Federal Income Tax', 'Tax Accounting', 'IRS Regulations', 'Pass-Through Entity Taxation', 'Corporate Tax', 'Depreciation', 'Amortization', 'Capital Gains and Losses', 'Property Taxation']

This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations. Applied Learning Project Courses within this specialization involve multiple projects within each course, including preparing tax returns and real-world applications of tax principles. In addition, the Capstone for this specialization is comprised of a comprehensive project reflecting key principles of all four foundational courses. This course is the first course in a five-course US Federal Tax Specialization. It covers and focuses on the U.S. federal tax system as it relates to individuals, employees, and sole proprietors. Key concepts covered include gross income and items that are statutorily included or excluded in it, personal and business expenses that qualify as tax deductions, and the differing tax treatments for employees versus self-employed taxpayers. Unlike many other introductory courses in tax and as part of this course’s comprehensive wrap-up, learners will be provided with practical and tangible experience reporting both income and expenses on the main individual tax return used in the US, Form 1040. If you have enjoyed this course, consider enrolling in our online graduate Accounting program. The University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa This course examines the U.S. federal tax system as it relates to property transactions of business owners and shareholders. Topics include cost recovery, such as depreciation, amortization, and depletion; calculation of realized versus recognized gains and losses; evaluation of the potential tax effects of nontaxable exchanges; and the combining, or netting, gains and losses that are different in nature. Assignments facilitate self-discovery of knowledge and development of a variety of professional skills. This course provides an introduction to the U.S. federal income taxation of corporations and their shareholders. The course focuses on the relevant provisions of Subchapter C of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing corporate formation, operations, distributions, and liquidation. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes. This course provides an introduction to the U.S. federal income taxation of pass-through business entities, including Subchapter S corporations, partnerships, and limited liability companies. The course focuses on the relevant provisions of Subchapters S and K of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing the formation, operation, and termination of pass-through entities. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes.

4 course series

Intermediate level

3 months (at 10 hours a week)

https://www.coursera.org/specializations/united-states-federal-taxation

Learn Interpersonal Psychotherapy

4,409

5.0

Paula Ravitz

University of Toronto

[]

How can psychotherapy help people struggling with depression and stressful interpersonal life events? How do therapists facilitate effective management of interpersonal experiences such as loss/grief, social role transitions, role disputes or interpersonal sensitivity? Interpersonal Psychotherapy (IPT) is a brief, structured, evidence-proven treatment that helps individuals resolve interpersonal issues associated with the onset, worsening, or maintenance of depression. It is recommended by the World Health Organization and expert consensus guidelines as a depression treatment. This case-based, interactive online course provides teaching on the theories, indications and clinical practice guidelines for IPT. The course features interactive learning exercises and video-taped demonstrations of clinical principles-in-practice. By the end of the course, learners will better understand how IPT can help patients address and resolve depression-related interpersonal problems, thereby improving their mood. Welcome to the the Learn Interpersonal Psychotherapy (IPT) Coursera Course! IPT is a brief, structured psychotherapy treatment that has been shown to be effective, especially for depression. Throughout the course there will be many clinical demonstration videos and case studies to illustrate IPT principles in practice, along with interactive questions to help you to consolidate your learning. This course is divided into nine lessons that you can complete at your own pace. This first short lesson includes welcome messages to the course and information about how to use the course. 1 video10 readings The second lesson will start with an introduction to the foundational principles and structure of interpersonal psychotherapy (IPT). This lesson will teach you the foundational requirements of establishing and maintaining a good therapeutic alliance. The lesson will conclude with a review of how to recognize individual patient differences of culture, trauma histories and patterns of relating, and how these differences will affect IPT practice. 1 video8 readings5 assignments The third lesson will introduce you IPT’s clinical guidelines and the therapeutic tasks of the beginning phase of IPT, such as conducting the Interpersonal Inventory and providing psychoeducation. The beginning-phase therapeutic tasks help the IPT therapist link the onset of the patient’s depressive symptoms to an interpersonal problem area focus—either grief, role transitions, role disputes or interpersonal sensitivity. 4 videos7 readings3 assignments Now that you have learned about the IPT beginning-phase tasks, we will proceed to the middle-phase therapeutic guidelines. This fourth week focuses on the middle-phase strategies that are used in all of the differing IPT problem areas of focus. Subsequent lessons will discuss each IPT focal area with specific context exploration guidelines. Please be sure to complete the interactive, case-based exercises and check-in questions to help to consolidate your learning. 2 videos8 readings4 assignments You have now learned about the middle-phase IPT strategies used in all four of the IPT focal areas. Continuing with the middle-phase of IPT, the next four lessons will examine each of the four IPT focal areas: grief, role transitions, role disputes and interpersonal sensitivity. This next lesson focuses on grief, with a case example of someone whose spouse has died. Be sure to do all of the interactive exercises and end-of-lesson quiz to consolidate your learning. 1 video9 readings4 assignments Life changes and social role transitions are common, and even when planned for, can be associated with the onset or worsening of depression. This lesson presents the IPT clinical guidelines for the focus area of role transitions and includes a case-based example of a woman with post-partum depression. Be sure to complete the interactive exercises to help consolidate your learning. 1 video8 readings4 assignments This next lesson focuses on role disputes or conflicts in close relationships that can trigger or be associated with an onset or worsening of depression. Throughout the lesson there are video demonstrations of the focus-specific IPT tasks applied to the case of “Anna,” a patient who is experiencing depressive symptoms relating to conflict with her father, and whom you first encountered in Lesson 3. Be sure to complete all of the interactive exercises and end-of-lesson quiz to help to consolidate your learning. 3 videos9 readings3 assignments This next lesson focuses on interpersonal sensitivities or loneliness that can be associated with an onset or worsening of depression. Throughout the lesson there are video demonstrations of the focus-specific IPT tasks applied to case of “Ethyl,” a patient who is experiencing depressive symptoms relating to increasing social isolation, and whom you first encountered in Lesson 3. Be sure to complete all of the interactive exercises and end-of-lesson quiz to help to consolidate your learning. 2 videos7 readings3 assignments This final lesson reviews clinical principles of the ending phase tasks of IPT with several video demonstrations. Interactive exercises are embedded in the videos and also appear throughout this lesson to help to consolidate your learning about the termination, concluding phase tasks of IPT. 4 videos8 readings4 assignments

9 modules

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/learn-ipt

Patent Law

15,897

4.8

R. Polk Wagner

University of Pennsylvania

['Innovation', 'Business Strategy', 'Reading a Patent', 'Competition']

In our modern technologically-based economy, the creation and enforcement of patent rights can make or break a business. With record numbers of patents being issued every year, the stakes for inventors (and, indeed, their lawyers) continue to rise, even as the patent law and its administration faces growing criticism. This course begins with an examination of the fundamental justifications for and creation of U.S. patent rights as well as the relationship between patent law and other “intellectual property” concepts. We will then delve into the details of the U.S. requirements for patentability, and explore the scope of patent rights, again considering how the policies expressed reflect the justifications for patent rights. Then we will look at an actual patent document and analyze the different pieces of an issued patent with a special focus on the importance of patent claims. Finally, we will explore strategies for dealing with patent infringement. This module introduces patent law - what patents are, what they cover, how they are enforced, and the structure of the U.S. patent system. 7 videos4 readings3 assignments1 discussion prompt What exactly can you patent? This module delves into the important details of the various patentability requirements. 9 videos6 readings3 assignments Once you have a patent, what exactly do you have? This module explores the exact scope and limits of patent coverage through a close study of patent claims. 6 videos1 reading1 assignment Once you have a patent, how do you enforce it? This module looks at patent enforcement as well as patent avoidance. We also take a close look at the fascinating case of the Super Soaker patent. 8 videos4 readings1 peer review

4 modules

10 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/patents

92%

The Science of Success: What Researchers Know that You Should Know

187,238

4.8

Paula Caproni

University of Michigan

['Personal Branding', 'Planning', 'Social Capital', 'Self-Motivation']

This engaging course is designed to help you achieve the success that you desire. Drawing on decades of scientific research, you will learn what the most successful people do differently than others, why IQ is not the most significant predictor of success (and can sometimes backfire), and why many commonly held beliefs hold people back from achieving their goals. Although this course is based on the science of success, you will learn many practical ideas that you can apply to your own life immediately, particularly in three main areas: • Getting better results at work (and school) • Achieving career success (however you define success) • Enjoying a meaningful, happy, and healthy life By the time you finish this course you will know more than most people know about what predicts success in life. One of the most important lessons you’ll learn is that success is earned day-by-day through small wins - small, achievable actions that together can help you achieve your goals sooner and exceed even your own expectations. Therefore, you will have an opportunity to complete a detailed action plan through which you can turn what you learned into specific steps for achieving your most treasured life goals. This course is designed to help you achieve the success in life that you desire and deserve. This module sets the foundation for the course and introduces you to the course objectives, as well as to four strategies that successful people use to achieve their life goals. In the first video, you’ll learn about the goals of the course and how a scientifically-based approach to success can help you achieve your life goals. In the second video, you’ll have the opportunity to think carefully about what success means to you, particularly in the areas of achieving better and more meaningful results at work, achieving the career success that you desire, and enjoying a happy, healthy life. In the third video, you’ll learn about the most common myths about success that can distract you from achieving your life goals, as well as what researchers have found really predicts success in life. Happy learning! 5 videos6 readings1 assignment1 discussion prompt In this module, you’ll learn how some beliefs can hold you back from achieving your goals, while others – such as having a growth mindset and positive core self-evaluations - can propel you forward toward your goals. You will also learn how having a growth mindset can protect people against the harmful effects of bias and prejudice and why people with positive core self-evaluations tend to earn significantly more money, regardless of their grades in school and family background. By the end of this module, you’ll have specific strategies for creating beliefs that will help you set high goals and succeed in achieving them. 3 videos1 reading1 assignment In this module, you’ll learn about the importance of having an expertise that is meaningful to you and contributes to others. In the first video, you’ll learn about the role that expertise played in Pilot Chesley “Sully” Sullenberger’s successful emergency landing of a United Airlines flight with 155 people on board into the Hudson River after both engines failed. You’ll learn how Sullenberger developed his expertise and how you can apply these lessons to your own pursuit of expertise. In the second video, you’ll learn about what sets experts apart from non-experts, as well as the essential role that mental representations and chunks play in the development of expertise. You’ll also learn what birds, squirrels, and elite London cab drivers have in common and what this means for you. Hint: It has to do with how the brain develops in experts. In the third video, you’ll learn a step-by-step strategy for engaging in the same type of practice that experts use to develop their expertise. 3 videos1 reading1 assignment In this module, you’ll learn about two types of self-motivation that predict success: Conscientiousness and Grit. The first video focuses on conscientiousness – what it is, how it can pay off for you in school and at work, and the benefits conscientiousness has on your health. You’ll also discover researchers have learned about success from a famous series of studies about children, marshmallows, and delayed gratification. The second video focuses on grit – what it is, how it differs from conscientiousness, how it leads to success, what specific techniques you can use to become grittier, and how to avoid some of the downsides to being gritty. You will also have the opportunity to assess your own conscientiousness and grit. 2 videos3 readings1 assignment In this module, you’ll learn about the power of developing mutually supportive relationships in predicting success and well-being in life. You’ll learn what social capital is, why it is a competitive advantage, and how it contributes to your success, as well as to the success of organizations and societies. You’ll learn to avoid several myths associated with relationship building, as well as four skills that are essential to developing relationships and social capital: developing self-awareness, creating your brand, being an energizer, and building your network of relationships. You’ll also have an opportunity to think about your brand, as well as map out and assess the effectiveness of your own network based on four criteria: size, structure, diversity, and strength of relationships. 4 videos2 readings1 assignment By the time you reach this module, you will know more than most people know about what predicts success in life. You will now have the opportunity to turn what you know into actions that will help you achieve your life goals. You will develop an action plan that will have three parts: The heart (identifying what is most important to you in life), head (identifying the one area that you will work on in the short-term to move you toward achieving your goals), and hands (creating the steps you will take in the short-term to make progress in that specific area). You’ll learn about the power of small wins in achieving your life goals, as well as the importance of resilience and self-compassion when faced with setbacks. 1 video1 reading Once you have watched all the videos, successfully completed the four quizzes, and created your personalized action plan, you will have successfully completed the course! You can use the Personalized Action Plan Template (found in the submissions area of the assignment) to create your action plan. Your action plan will be reviewed and graded by another course participant. If needed, you can resubmit your action plan until you achieve a passing grade. Of course, you should continue to refine your action plan throughout the different stages of your life. I wish you the very best on your journey to the life you desire and deserve. 2 readings1 peer review

7 modules

Beginner level

https://www.coursera.org/learn/success

98%

Refugees in the 21st Century

24,434

4.8

Professor David Cantor

University of London

['Practice sifting complex factual information to identify important features and trends', 'Learn to apply technical legal and policy categories to a range of factual scenarios']

This MOOC provides insight into the refugee phenomenon as one of the most complex, compelling and (arguably) misunderstood features of the 21st century. Taking a global perspective, it will outline the fundamentals of who ‘refugees’ are, where they come from and where they go, as well as delving into the features of the global system for refugee protection and ‘solutions’ for those who have been forcibly displaced. It places the student at the centre of the learning experience through engagement with a range of robust and challenging activities, materials and online peer engagement. This MOOC provides insight into the refugee phenomenon as one of the most complex, compelling and (arguably) misunderstood features of the 21st century. Taking a global perspective, it will outline the fundamentals of who ‘refugees’ are, where they come from and where they go, as well as delving into the features of the global system for refugee protection and ‘solutions’ for those who have been forcibly displaced. It places the student at the centre of the learning experience through engagement with a range of robust and challenging activities, materials and online peer engagement. This course has been developed by the Refugee Law Initiative at the renowned School of Advanced Study of the University of London, one of the leading research institutions working on refugee protection and forced migration studies. Please review the Course Introduction video and activities and then proceed to our first weekly lesson: 'A world of refugees'. 2 videos5 readings1 assignment4 discussion prompts This session addresses the paramount question of who is a refugee. The concept of a ‘refugee’ can be interpreted in several ways. The session shows that, alongside the ‘everyday’ meaning of the term, the global refugee regime established by the international community also uses a ‘specialised’ technical understanding of the term. The session asks you to think how that technical term might be applied by governments and others in practice to different situations when deciding who qualifies as a ‘refugee’ deserving protection by the international community.This week we will be looking to explore the following areas: key aspects of what we mean when we use the term ‘refugee’; comparisons between the technical definition of a ‘refugee’ and everyday use of this term; key features of the technical ‘refugee’ definition in the 1951 Refugee Convention, and; ‘asylum seeker’ as a non-technical term merely for persons seeking to have their refugee status recognised. 1 video1 reading1 assignment4 discussion prompts In today’s world, there exists a ‘global system’ for responding to refugee arrivals. This session introduces you to two of the main features of this system: the 1951 Refugee Convention as the ‘cornerstone’ of refugee protection standards globally; and the Office of the United Nations High Commissioner for Refugees (UNHCR) as the global actor charged with the role of refugee protection by the international community. You are asked to reflect on the continuing relevance of this system, established in the middle of the 20th century, in the shifting contexts of the 21st century.This week we will be looking to explore the following areas: the global ‘system’ created by States for refugee protection; the main features of its legal ‘cornerstone’, the 1951 Refugee Convention, and; how the main institutional actor, UNHCR, fulfils its role in today’s world. 1 video1 reading1 peer review2 discussion prompts With forced displacement at such high levels, a crucial component of the refugee protection regime is finding durable, long-lasting solutions for refugees and displaced persons. This session introduces you to the three core ‘durable solutions’ for refugees: voluntary repatriation, local integration and resettlement. You will examine the similarities and differences between these forms of durable solution, and the challenges that lack of solutions in practice pose for refugees around the world. This week we will be looking to explore the following areas: the concept of ‘solutions’ for refugees as the end of refugee status; the similarities and differences between the three main ‘durable solutions’ for refugees, and; the process and challenges of (lack of) solutions in a real-life case study. 1 video1 reading1 assignment3 discussion prompts For a variety of reasons, some refugees move on from their first country or region of asylum to more geographically distant locations. Looking particularly at the European ‘crisis’ of 2015, this session explores the patterns and drivers of such refugee ‘mobility’ and how refugees undertaking these migratory journeys can get caught up in broader efforts to prevent or discourage irregular migration. This week we will be looking to explore the following areas: debates about the extent to which refugees are ‘migrants’; Government strategies to deter immigration and their impact on refugees, and; a case study of secondary movements and deterrence strategies. 1 video1 reading1 assignment3 discussion prompts Refugees are not the only kind of forced migrants. Indeed, they represent only the tip of the iceberg so far as the wider universe of forced migrants in the 21st century is concerned. This session asks you to consider two of these other kinds of forced migrants lacking the protection of a State: stateless persons; and ‘internally displaced persons’ (IDPs). It focuses particularly on the similarities and differences between refugees and IDPs globally, including an assessment of the main protection challenges facing IDPs globally today. This week we will be looking to explore the following key areas: the wider range of forced migrants, including stateless persons, IDPs etc.; similarities and differences between refugees and conflict-IDPs globally, and; protection challenges in situations of internal displacement. 1 video1 reading1 peer review2 discussion prompts

6 modules

Beginner level

https://www.coursera.org/learn/refugees-21st-century

98%

Introduction to AWS Cloud Careers

4,121

4.7

Rafael Lopes

Amazon Web Services

['Solution Architecture', 'Cloud Computing', 'Developing on AWS', 'Cloud Operations', 'AWS cloud']

This course introduces technical roles in the AWS Cloud and explains why the Public Cloud Computing model is the new normal. The instructors teach some of the terminologies that are needed to start a Cloud learning journey, covering topics such as the difference between IaaS, PaaS and SaaS, Cloud Computing models (Public, Private and Hybrid Cloud), what are APIs (and why they are important), elasticity, horizontal and vertical scaling. Then, we define the difference between relationship, availability, and milestone-oriented roles, and interview Amazon employees who provide their point of view of how is the day in a life of a Solutions Architect, Data Scientist, Software Developer Engineer, Systems Administrator, Security Engineer, and Customer Support Engineer. This week, you'll be introduced to some of the terminology that’s essential to begin your cloud learning journey, such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). You'll also learn how to differentiate between cloud computing models (including public, private, and hybrid clouds), and discuss their use cases and benefits. Lastly, you'll dive deeper into topics such as elasticity and horizontal and vertical scaling, and learn about their significance in cloud computing. 9 videos5 readings1 assignment2 plugins This week, you'll explore different technical roles in the AWS Cloud, such as solutions architect, data scientist, software development engineer, systems administrator, security engineer, and technical account manager. You'll also learn about their responsibilities and day-to-day activities. 10 videos2 readings1 assignment1 discussion prompt1 plugin

2 modules

Beginner level

4 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/aws-cloud-careers

Decision Making and Reinforcement Learning

2,929

4.2

Tony Dear

Columbia University

['Monte Carlo Method', 'Reinforcement Learning', 'Markov Decision Process', 'Machine Learning', 'Deep Learning']

This course is an introduction to sequential decision making and reinforcement learning. We start with a discussion of utility theory to learn how preferences can be represented and modeled for decision making. We first model simple decision problems as multi-armed bandit problems in and discuss several approaches to evaluate feedback. We will then model decision problems as finite Markov decision processes (MDPs), and discuss their solutions via dynamic programming algorithms. We touch on the notion of partial observability in real problems, modeled by POMDPs and then solved by online planning methods. Finally, we introduce the reinforcement learning problem and discuss two paradigms: Monte Carlo methods and temporal difference learning. We conclude the course by noting how the two paradigms lie on a spectrum of n-step temporal difference methods. An emphasis on algorithms and examples will be a key part of this course. Welcome to Decision Making and Reinforcement Learning! During this week, Professor Tony Dear provides an overview of the course. You will also view guidelines to support your learning journey towards modeling sequential decision problems and implementing reinforcement learning algorithms. 6 videos6 readings1 assignment1 programming assignment3 discussion prompts1 plugin Welcome to week 2! This week, we will learn about multi-armed bandit problems, a type of optimization problem in which the algorithm balances exploration and exploitation to maximize rewards. Topics include action values and sample averaging estimation, 𝜀-greedy action selection, and the upper confidence bound. You could post in the discussion forum if you need assistance on the quiz and assignment. 3 videos1 reading1 assignment1 programming assignment2 discussion prompts Welcome to week 3! This week, we will focus on the basics of the Markov decision process, including rewards, utilities, discounting, policies, value functions, and Bellman equations. You will model sequential decision problems, understand the impact of rewards and discount factors on outcomes, define policies and value functions, and write Bellman equations for optimal solutions. You could post in the discussion forum if you need assistance on the quiz and assignment. 6 videos1 reading1 assignment1 programming assignment3 discussion prompts Welcome to week 4! This week, we will cover dynamic programming algorithms for solving Markov decision processes (MDPs). Topics include value iteration and policy iteration, nonlinear Bellman equations, complexity and convergence, and a comparison of the two approaches.You could post in the discussion forum if you need assistance on the quiz and assignment. 6 videos1 reading1 assignment2 programming assignments3 discussion prompts Welcome to week 5! This week, we will go through topics on partial observability and POMDPs, belief states, representation as belief MDPs, and online planning in MDPs and POMDPs. You will also apply your knowledge to update the belief state and employ a belief transition function to calculate state values. You could post in the discussion forum if you need assistance on the quiz and assignment. 5 videos2 readings1 assignment1 programming assignment3 discussion prompts Welcome to week 6! This week, we will introduce Monte Carlo methods, and cover topics related to state value estimation using sample averaging and Monte Carlo prediction, state-action values and epsilon-greedy policies, and importance sampling for off-policy vs on-policy Monte Carlo control. You will learn to estimate state values, state-action values, use importance sampling, and implement off-policy Monte Carlo control for optimal policy learning. You could post in the discussion forum if you need assistance on the quiz and assignment. 6 videos2 readings1 assignment1 programming assignment2 discussion prompts Welcome to week 7! This week, we will cover topics related to temporal difference learning for prediction, TD batch methods, SARSA for on-policy control, and Q-learning for off-policy control. You will learn to implement TD prediction, TD batch and offline methods, SARSA and Q-learning, and compare on-policy vs off-policy TD learning. You will then apply your knowledge in solving a Tic-tac-toe programming assignment.You could post in the discussion forum if you need assistance on the quiz and assignment. 5 videos2 readings1 assignment3 programming assignments2 discussion prompts Welcome to week 8! This module covers n-step temporal difference prediction, n-step SARSA (on-policy and off-policy), model-based RL with Dyna-Q, and function approximation. You will be prepared to implement n-step TD learning, n-step SARSA, Dyna-Q for model-based learning, and use function approximation for reinforcement learning. You will apply your knowledge in the Frozen Lake programming environment. You could post in the discussion forum if you need assistance on the quiz and assignment. 4 videos3 readings1 assignment1 programming assignment2 discussion prompts1 plugin

8 modules

Intermediate level

47 hours to complete (3 weeks at 15 hours a week)

https://www.coursera.org/learn/dmrol

The Structured Query Language (SQL)

56,022

4.7

Alan Paradise

University of Colorado Boulder

['Database Application', 'Data Science', 'Database (DBMS)', 'database administration', 'SQL (Structured Query Language)']

In this course you will learn all about the Structured Query Language ("SQL".) We will review the origins of the language and its conceptual foundations. But primarily, we will focus on learning all the standard SQL commands, their syntax, and how to use these commands to conduct analysis of the data within a relational database. Our scope includes not only the SELECT statement for retrieving data and creating analytical reports, but also includes the DDL ("Data Definition Language") and DML ("Data Manipulation Language") commands necessary to create and maintain database objects. The Structured Query Language (SQL) can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. The origins of SQL, what it is and how it works. 5 videos2 readings3 quizzes2 discussion prompts The SELECT statement - retrieving data from your database. 5 videos6 readings5 quizzes1 discussion prompt1 ungraded lab The five GROUP functions. 3 videos4 readings6 quizzes Using the JOIN. 4 videos4 readings5 quizzes1 discussion prompt SQL Statements: beyond the SELECT. 4 videos6 readings5 quizzes Some more advanced SQL capabilities. 5 videos7 readings4 quizzes1 peer review1 discussion prompt

6 modules

Beginner level

https://www.coursera.org/learn/the-structured-query-language-sql

96%

UX (User Experience) Capstone

16,610

4.7

Mark Newman

University of Michigan

['User Research', 'Adobe Photoshop', 'User Experience (UX)', 'User Experience Design (UXD)']

In this UX capstone course, you’ll conduct a multi-stage user experience project to design a product from scratch. You will employ interviews, inspection methods, and user testing, along with ideation, design, and prototyping methods to gain and communicate valuable insight that can be used to deliver a compelling product. You will: Learn how to design and carry out an integrated multi-phase user experience research and design project Gain experience conducting user experience research in a real-world setting Gain hands-on experience with a realistic UX design project Improve ability to communicate design concepts and actionable research findings. 3 videos6 readings1 app item 1 video1 reading1 assignment1 app item 1 video1 reading1 app item 1 video1 reading1 assignment1 app item 1 video1 reading1 assignment1 app item 2 videos2 readings1 peer review1 plugin

6 modules

Beginner level

18 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/user-experience-capstone

Microsoft UX Design Professional Certificate

7,957

4.7

Microsoft

Microsoft

['User Experience (UX)', 'Prototype', 'Wireframe', 'Artificial Intelligence', 'Figma (Design Software)']

Through hands-on projects and expert-led instruction, you'll learn the entire UX design process, from conducting user research and creating wireframes to designing high-fidelity mockups and prototypes. You'll also learn essential soft skills like collaboration and communication, crucial for success in any design role. This Professional Certificate is unique in its focus on: Hands-on Learning:You'll build a professional portfolio showcasing your skills to potential employers. AI in UX Design:Leverage AI as a powerful tool to enhance UX Design efficiency and creativity. Industry-Relevant Tools:Learn to use Microsoft PowerPoint, Figma, and Fluent 2, popular design tools used by professionals. Accessibility and Inclusive Design:Create designs that cater to diverse user needs. Collaborative Design:Gain experience working with cross-functional teams. Upon completion, you'll be able to: Conduct user research and create user personas. Develop wireframes, mockups, and interactive prototypes. Apply visual design principles and create high-fidelity designs. Understand and implement accessibility guidelines. Effectively communicate design decisions and collaborate with stakeholders. Receive guidance on resume building, job searching, and interviewing. No prerequisites are required.Whether you're switching careers or just starting, this program will provide you with the foundation and practical skills needed to thrive in the exciting field of UX design. Applied Learning Project Throughout this program, you'll work on a capstone project: designing a mobile grocery shopping app for busy professionals. In a series of 12 projects, you'll conduct user research, create wireframes and prototypes, and test your designs to ensure a seamless and intuitive user experience. You’ll apply UX design skills to a real-world scenario, building a portfolio-worthy piece that demonstrates your ability to solve complex design challenges. You’ll start with user research, using different methods to uncover the pain points and the wants and needs busy professionals have when it comes to buying groceries. You’ll design the information hierarchy within the app, ensuring a logical structure that makes sense to users. Finally, you'll transform your static mockups into an interactive prototype so Grocery Shopping App users can tap, swipe, and navigate the app, and give you valuable feedback on your design. This course explores the core concepts of User Experience Design (UXD) and Human-Centered Design (HCD). It introduces design thinking and how it is used in UX/UI design. It will also cover UX roles and responsibilities. Finally, learners will start work on a portfolio of their designs. In this course, learners will analyze user needs and research and use those insights to make design choices. They will review design ideation techniques and use Design Thinking to generate create storyboards, user flow diagrams, and journey maps. Last, they will use information architecture principles to organize content for intuitive navigation. In this course, you will create wireframes, mockups, and prototypes, using Figma and Fluent 2 Design. In this course, you will apply visual design principles to create high-fidelity mockups, considering platform-specific design patterns and best practices, while incorporating user feedback from usability testing.

4 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/professional-certificates/ux-design

CVS Health Call Center Customer Service Professional Certificate

7,245

4.8

Denielle Booth

CVS Health

['Customer Service', 'Communication', 'Task Prioritization', 'Time management', 'De-escalation']

The demand for call center customer service representatives is huge, there are thousands of open job roles in the US alone. If you are someone that enjoys talking to people and solving problems and are ready for new experiences, then this program is right for you. Customer service in a call center is an exciting career where every day is a new day and a new adventure. If you're considering a career in retail customer service and you're someone who is passionate about providing exceptional customer experiences, this role is for you. This program uniquely prepares learners for their new role by using a blend of videos, activities, discussions, simulations, peer-reviewed projects, and a final capstone. As you complete each of these activities, you will create experiences that you can reference in job interviews or even as you work with customers after you have landed the job. At the end of this program, you will be able to: - Create positive interactions with customers - De-escalate conflict with customers - Create solutions to customer problems - Describe the different roles in call center customer service Upon completion of this program, you will receive a Professional Certificate from CVS Health to showcase your proficiency. You'll also gain access to exclusive career support resources to help you in your job search and you’ll have a portfolio of meaningful activities you have completed to show prospective employers. Applied Learning Project Throughout this program, there are numerous self-guided activities to help you apply what you learn. In addition, there are three peer review projects, one capstone project, and eight simulations. Simulations allow you to practice solving customer problems in real-world situations. Customers and managers will react to your choices in the simulation, and you will be able to correct your actions or words as the simulation continues. The projects will give you portfolio examples of how to handle customer interactions based on your practice in real-world simulations. The final capstone project allows you to research and evaluate call center tasks in a real-world setting. You will use a checklist to provide an analysis of your experience and reflect on how you would act differently based on what you’ve learned throughout the program. The Introduction to Customer Service course presents an in-depth look at communication, time management and de-escalation needed for a career in customer service. This course presents frameworks for communication, time management and problem-solving that allow you to improve your skills immediately and to evaluate customer service interactions. In addition, hands-on activities and community observations and projects are a part of this course, allowing you to get a real-world idea of key areas of customer service happening in your community. By the end of the course, you will be able to: - Create positive interactions with customers - De-escalate conflict with customers - Process retail transactions in real-world situations - Describe the different roles in retail customer service No prior experience in customer service is necessary to be successful in this course. This course presents the different customer interactions that happen in a retail setting and allows you to experience real interactions through simulations and scenarios. Interactions examined include in-person, on the phone, or through social media. In addition, you will take your knowledge into the community to observe and evaluate interactions at any business that provides customer service. You will rate interactions by distinguishing between successful interactions and interactions that need improvement interactions as each type of interaction is presented. By the end of the course, you will be able to: - Create positive interactions with customers - De-escalate conflict with customers - Process retail transactions in real-world situations - Describe the different roles in retail customer service To be successful in this course, it is recommended that you complete the first course in this program. The Call Center Customer Service course requires a practical skill set of data entry and organization of information/resources. In addition, communicating with only the voice uses a wide range of communication skills. This course will provide you with practical experience in data entry and customer privacy, and the opportunity to evaluate sample interactions between a call center customer service representative and a customer. You will also have the opportunity to respond to sample calls where you can demonstrate great customer service. -By the end of the course, you will be able to: -Create positive interactions with customers -De-escalate conflict with customers -Create solutions to customer problems -Describe the different roles in call center customer service To be successful in this course, it is recommended that you complete the two courses in this program. Demonstrate Excellent Customer Service provides resume and social media presence guidance to learners looking for a career in customer service. This allows you to optimize your resume for a customer service position and be prepared for your first interview. In addition, you will apply your knowledge gained over the previous courses in the program to a hands-on project that allows you to demonstrate the skills you’ve learned in each course. -By the end of the course, you will be able to: -Create positive interactions with customers -De-escalate conflict with customers -Create solutions to customer problems -Describe the different roles in call center customer service To be successful in this course, it is recommended that you complete the first four courses in this program. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

4 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/professional-certificates/cvshealth-call-center-customer-service

Introduction to Data Engineering on Google Cloud

Enrollment number not found

Rating not found

Google Cloud Training

Google Cloud

[]

In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges. This section welcomes you to the Introduction to Data Engineering on Google Cloud course, and provides an overview of the course structure and goals. 1 video This module provides an introduction to the role of a data engineer. It covers key concepts such as data sources and sinks, data formats, storage options on Google Cloud, metadata management, and the use of Analytics Hub for data sharing within and outside an organization. 9 videos1 assignment1 app item This module provides an overview of data replication and migration on Google Cloud. It covers the basic architecture, the 'gcloud' command-line tool, Storage Transfer Service, Transfer Appliance, and Datastream, along with their functionalities and use cases. 6 videos1 assignment1 app item This module focuses on data extraction and loading processes on Google Cloud, particularly with BigQuery. It covers the basic extraction and loading architecture, the bq command-line tool, BigQuery Data Transfer Service, and BigLake as an alternative to traditional extract-load patterns. 6 videos1 assignment1 app item This module provides an overview of ELT (extract, load, transform) processes on Google Cloud. It covers the basic ELT architecture, a common ELT pipeline example, BigQuery's capabilities for scripting and scheduling SQL, and the functionality and use cases of Dataform. 5 videos1 assignment1 app item This module provides an overview of ETL (extract, transform, load) processes on Google Cloud. It covers the basic ETL architecture, GUI tools, batch and streaming data processing options (Dataproc, Dataproc Serverless), and the role of Bigtable in data pipelines. 8 videos1 assignment2 app items This module focuses on automation patterns and options for pipelines on Google Cloud. It covers various tools and services like Cloud Scheduler, Workflows, Cloud Composer, Cloud Run functions, and Eventarc, along with their functionalities and use cases for automation. 7 videos1 assignment1 app item In this final section, we review what was presented in this course and discuss the next steps to continue your cloud learning journey. 1 video1 reading

8 modules

Beginner level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/introduction-to-data-engineering-on-google-cloud

Bridge Infrastructure Design Specialization

Enrollment number not found

Rating not found

Subject Matter Expert

L&T EduTech

["Analyze bridges using hand computation methods (Pigeaud's, Courbon's) and grillage analysis for different bridge types."]

Dreaming of bringing majestic bridges to life? This L&T EduTech specialization equips learners with the knowledge and tools to transform that dream into reality. Master bridge design principles, analyze loads, and ensure bridge safety and functionality throughout its entire lifecycle – from initial planning and construction to ongoing monitoring and maintenance. With this comprehensive specialization, learners gain the expertise to contribute to all stages of a bridge's journey, shaping the future of infrastructure and connecting communities across the globe. This first course ‘Conceptual Planning of bridges’ dives into the various bridge types, history of bridge design, planning stages, site surveys and investigations, and aesthetics. The second course ‘Bridge Deck Analysis’ probes into analyzing the forces acting on the deck, various analysis techniques, including hand computation methods, alongside grillage analysis software for different bridge types. Also introduces the Finite Element Method (FEM) analysis, a powerful tool for complex bridge structures. The third course ‘Foundation Systems, Monitoring and Erection Methods’ explores different foundation systems, design process for pile foundations, construction stage monitoring and sensor installation techniques, and finally, explore various erection methods used for bridge construction. Applied Learning Project Learners will develop skills to design and analyze simply supported bridge decks, adhering to IRC code requirements and industry standards. The course includes practical applications and real-world inputs, ensuring learners are prepared to meet professional demands. This bridge engineering course equips you to transform bridge concepts into reality. It explores bridge types and their suitability for various applications. You'll delve into bridge history, appreciating how past designs influence modern practices. The course emphasizes the roles of bridge components: the superstructure and the substructure in ensuring stability and functionality. Moving forward, you'll explore conceptual bridge design. This involves analyzing the landscape where the bridge will be built, considering factors like soil conditions, traffic flow, and environmental impact. Conducting thorough investigations is crucial to ensure the bridge can withstand the elements. The course also explores how aesthetics play a role in bridge design. Bridges are designed to endure various forces. The course explores design considerations for dead load, live load, wind, temperature changes, water currents, and even potential accidents. By the end, you'll be able to design bridges strong enough to handle these forces. The final leg of the course delves into the engineering calculations that ensure a bridge's structural integrity. You'll be introduced to analysis methods like traditional hand calculations and advanced computer software. Techniques like grillage analysis will be explored. This equips you to analyze and design bridges that can withstand everyday use. By completing this course, you'll gain a comprehensive understanding of the entire bridge-building process, from concept to analysis. This knowledge is valuable for careers in bridge engineering, construction, or any field where understanding structures is important. The course equips you to be the architect of a bridge's most crucial component: the superstructure. You'll learn the intricacies of designing these materials for bridge decks, considering their properties, behavior under load, and techniques like prestressing to enhance performance. The course delves into design philosophies, comparing traditional methods with modern limit state design to ensure bridges meet all safety requirements. But a bridge deck is more than just concrete. From designing box culverts that ensure proper drainage under the bridge to selecting appropriate retaining walls based on site conditions, you'll gain the knowledge to keep the bridge functional. The course even ventures into innovative solutions like seismic isolation devices to safeguard bridges during earthquakes. Beam and slab superstructures are a major focus. You'll master a step-by-step process to analyze and design them. This includes idealizing the bridge deck for analysis, calculating properties of beams within the deck, and accurately determining the design loads the bridge will encounter. The course emphasizes designing for both ultimate and serviceability limit states. This ensures the bridge can withstand various stresses without failure and functions well under everyday use. Steel and steel composite bridges come into play later. You'll gain knowledge of key design codes and different steel bridge configurations like trusses. Steel composite girders, which combine steel and concrete for enhanced performance, will be a key area of study. You'll learn to model these composite structures and design them for critical factors like flexure, shear, and fatigue, ensuring their long-term performance. By completing this course, you'll transform from a bridge deck novice to a confident designer. We delve into the substructure, the crucial support system holding the bridge deck. You'll learn to design piers, the pillars taking the bridge's weight, and abutments providing support at the ends. Analyzing forces acting on these structures and designing them for strength and stability, even during earthquakes, is a key focus. Different pier designs and bearing systems that transfer the bridge's weight to the ground will be explored. Moving underground, you'll tackle foundation engineering - the bridge's cornerstone. We explore different foundation types, from shallow ones for good soil conditions to deep pile foundations for weak soils or heavy bridges. Understanding how soil properties influence the foundation design is crucial. The course equips you to design pile foundations, including selecting the right type, analyzing their load capacity, and ensuring their stability under varying conditions. Well foundations, suitable for deep water or weak soil, will also be covered. But building a bridge isn't just about initial construction. This course emphasizes the importance of monitoring and maintaining bridges throughout their lifespan. You'll learn how engineers use various methods to keep an eye on bridges during construction to identify and address potential issues early on. This includes installing sensors to track the bridge's behavior after construction, allowing for data-driven maintenance decisions. The course covers periodic inspections using visual and specialized techniques to detect problems. You'll learn about routine maintenance tasks like replacing bearings and expansion joints, crucial for ensuring the bridge's long-term functionality. Even bridge widening to accommodate changing traffic needs will be explored. Finally, the course culminates with a fascinating look at bridge construction through real-world case studies. You'll explore how different bridge types are brought to life, from pre-stressed concrete to awe-inspiring cable-stayed bridges. Examining specific construction methods used for each type, such as segmental construction and the impressive balanced cantilever method for achieving large spans, will give you insights into the engineering ingenuity behind these marvels of modern infrastructure. By completing this course, you'll gain a comprehensive understanding of the unseen but critical world that supports bridges. This knowledge is valuable for a career in bridge engineering, construction, or any field where understanding foundations and construction methods is important.

3 course series

Advanced level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/bridge-infrastructure-design

Scaling Operations: Linking Strategy and Execution

23,798

4.6

Gad Allon

Northwestern University

[]

Over the past several decades, operations strategy has played an increasingly important role in business’ success. In this course, we will equip you with concepts and tools to build operations in a way that not only supports your competitive strategy, but also allows you to create new opportunities in the market place. Scaling operations: Linking strategy and execution is a five-week course dedicated to making strategic decisions that are grounded in operational reality. Together, we will study how to build and evaluate the “operating system” of the firm to maximize value. This involves tailoring the firm’s operational competencies, assets, and processes to a specific business strategy. Each week, we’ll explore case studies, engage in discussions and examine realistic data. Thanks to our data-driven approach, you’ll be able to implement your learning directly into practice. At the end of this course, you’ll be ready to build an effective, actionable plan to scale your department or organization. We start by explaining the concepts of operating systems and operations strategy. Then we introduce the main "VCAP" framework, which connects the key components of operations strategy and identifies three main views to analyze it. The module also describes the key decisions related to operations strategy. Several examples illustrate the impact of operations strategy and the importance of tailoring to increase value and alignment. 4 videos6 readings1 assignment1 peer review We start by reviewing the main idea of using operations to create value (and the VCAP framework). We briefly discuss the key questions and introduce the main firm we are going to use (the Mafia restaurant chain). We discuss the key idea of measuring financial return (EVA and ROIC). Then we introduce the main tool, the ROIC tree. We apply the ROIC tree to the firm and discuss the steps: constructing the tree, identifying metrics, assessing impact (sensitivity analysis), building a growth plan and communicating the narrative. 4 videos3 readings1 assignment1 peer review Module 1 introduced the capability view of operations as the natural link between competitive strategy and operations. In this module we will investigate this link in greater depth and use the capability view to assess the competitive risk the firm faces. A good operations strategy clearly stipulates which capabilities are critical and which are of secondary importance. One can't have it all: operational capabilities exhibit trade-offs and superior performance requires making choices. But where do these trade-offs come from and how can operations shape them to our competitive advantage? That is the subject of this module. We will outline the main challenge; develop the framework, and the use a simple case to illustrate it. 4 videos3 readings1 assignment1 peer review In the previous modules, we introduced the VCAP framework for operations strategy and studied value and capabilities. We learned how to invest assets in the face of uncertain demand. Now we turn our attention to structuring operational processes. In this module, we will analyze two essential components of operations strategy: the questions of who should perform an activity or process in the value chain, and how we should manage the supply relationship. 4 videos2 readings1 assignment1 peer review Modules 1 through 3 of the course introduced the VCAP framework for operations strategy and outlined the main diagnostic tools. We discussed how operations create value V and the role of capabilities in a competitive environment. In this module, we adopt the resource view and turn our attention to the assets that comprise the operating system of the firm. We start with the capacity sizing and investment decision in this chapter. After discussing the key trade-offs and challenges in a capacity strategy, we study how uncertainty impacts capacity valuation. Maximizing this value suggests guidelines on how we can tailor an operation's capacity sizing decision. 4 videos2 readings1 assignment

5 modules

11 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/operations-strategy

97%

Managing Cybersecurity Specialization

16,283

4.8

Herbert J. Mattord, Ph.D., CISM, CISSP, CDP

Kennesaw State University

['Computer Security Incident Management', 'Risk Management', 'Network Security', 'Security Governance', 'Security Management', 'Computer Security Incident Management', 'Risk Management', 'Network Security', 'Security Governance', 'Security Management']

This specialization is intended for those learners that: - would preferably have an undergraduate (bachelors) degree, or is a currently enrolled student - are interested in the area of IT and cybersecurity and how it relates to business decisions - is currently employed or seeking employment and needs to understand issues and best practices around Cybersecurity - may be a IT or Cybersecurity professional or technician - may be interested in Cybersecurity and unsure of how to approach a career in it Applied Learning Project Given a case study of a sample organization, the student will specify the number, role, and qualifications of cybersecurity staff, identify the number and types of policy needed, outline a risk management program, specify the committees, roles, and plans needed to perform contingency planning and outline a cybersecurity governance program. Define key concepts and terminology in Cybersecurity Describe key threats to cybersecurity Define strategies to identify and remediate vulnerabilities in information assets Give examples of the systemic components (including personnel) necessary for an effective cybersecurity program Identify the importance and functions of Governance, Risk Management, and Compliance in Cybersecurity program management. Describe best practices in risk management including the domains of risk assessment and risk treatment. Describe the structure and content of Cybersecurity-related strategy, plans, and planning Identify the key components and methodologies of Cybersecurity policies and policy development Describe the threats to data from information communication technology (ICT) Identify the issues and practices associated with managing network security Identify the practices, tools, and methodologies associated with assessing network security Describe the components of an effective network security program Define and describe the components of a cybersecurity contingency planning program Identify the components and structure of an effective cybersecurity incident response program Identify the components and structure of an effective cybersecurity disaster recovery program Define and describe recommended contingency strategies including data backup and recovery and continuity of cybersecurity operations Identify the career development and path of a Cybersecurity professional from entry-level to CISO Define and describe the role and function of a CISO in planning for cybersecurity Identify the development of a cybersecurity governance program and the role the CISO would play in it Discuss the strategic responsibilities of the CISO in overseeing an organization’s cybersecurity program

5 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/specializations/managing-cybersecurity

Strategies for Senior Housing Communities during COVID-19

5,499

4.8

Juliana Bilowich

Johns Hopkins University

['infection prevention', 'Emergency Management', 'Housing Operations', 'Well-being Promotion']

SARS-CoV-2, the virus that causes COVID-19, poses a high risk for senior housing communities and the people who live and work there. The COVID-19 response has largely focused on nursing homes, leaving independent living communities serving older adults in the United States with fragmented guidance on how to respond to COVID-19 challenges. This course provides comprehensive instruction and resources for property owners and managers, senior housing staff, service coordinators and providers, community housing leaders, and other senior housing stakeholders to build upon their emergency preparedness and response strategies related to COVID-19. The course lectures, interviews, and assignments are largely geared toward federally-subsidized, multifamily senior housing providers, but the material is relevant for all senior housing providers. Learners will hear from experts about best practices to prevent COVID-19 outbreaks and promote well-being. Topics discussed include unique challenges for senior housing communities, development of emergency preparedness plans, outbreak prevention, and coronavirus-adapted housing operations. The course also covers strategies for communicating with stakeholders, promoting pandemic-safe behavior on site, and leveraging health departments and other agency resources, including a collection of resources for COVID-19 vaccination guidance. Learners are encouraged to concurrently develop and enhance their own community’s policies, procedures, and practices. This course was developed in partnership with the Baltimore City Health Department. This module provides a foundational understanding of Coronavirus Disease 2019 (COVID-19), challenges specific to Senior Housing communities, and how to structure your pandemic emergency preparedness response strategies. 5 videos4 readings1 assignment This module covers several infection prevention topics to help you develop and implement practices to reduce COVID-19 transmission. First, it distinguishes how policies, procedures and practices each play a role in preventing and responding to COVID-19. Then it describes factors that contribute to COVID-19 outbreaks and how to prevent them, mask usage, cleaning and disinfection, staffing considerations, and communication strategies for different stakeholders. 8 videos1 reading3 assignments This module covers how senior housing operations are impacted by the pandemic and suggests adaptations to occupancy procedures, community access, and behavior management to lower the risk of COVID-19 transmission on site. 6 videos1 reading1 assignment This module discusses reasons for increased stress, anxiety, and feelings of isolation among staff and residents during this time and what types of programs and policies can be implemented to promote well-being. 6 videos1 reading1 assignment This module discusses how to create partnerships with local and state health agencies to support your community’s response to COVID-19. It also provides resources about the COVID-19 vaccinations, distribution, and messaging. 1 video4 readings2 assignments The Final Assessment asks about changes you've made to your community's emergency response strategies while taking this course. Prior to starting the Quiz, read the Overarching Resources section and revisit any uncompleted assignments or items that may have required follow up with others in your community. 1 reading1 assignment1 plugin

6 modules

Beginner level

10 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/strategies-senior-housing-covid19

Managing ADHD, Autism, Learning Disabilities, and Concussion in School

38,142

4.8

Eve Kutchman

University of Colorado System

[]

Welcome to our next course in the School Health specialization: Managing ADHD, Autism, Learning Disabilities, and Concussion in School. In this course, you will about the most common developmental and behavioral disorders affecting children such as ADHD, autism spectrum disorder, learning disorders, and concussions. We will focus on how schools can support children by recognizing common symptoms and understanding the diagnosis process. You’ll be introduced to scenarios that provide firsthand clinician experience working with children with ADHD. We will walk through management options for the most common developmental and behavioral disorders. Next, we’ll go through two interview modules that discuss autism and learning disorders. Finally, we’ll discuss what concussions are, symptoms, and management Prepare yourself to learn about the most common development and behavioral disorders affecting children. In the next few lessons, you will learn broadly about attention-deficit/hyperactivity disorder, commonly referred to as ADHD. We will gain a deeper understanding of ADHD and common diagnoses. You will be introduced to the types of ADHD that exist and common symptoms for each. Next, you’ll explore the specific criteria for the diagnosis of ADHD. Finally, you will review at a high-level treatment therapy and intervention programs – both inside and outside school, as well as medications. 5 videos6 readings1 assignment Next up is learning about autism spectrum disorder, the effects it has on children’s social communication skills, and the percent of the population that carry a diagnosis of it. You’ll experience an interview and answer dialogue with Dr. Abigail Angulo, a Developmental-Behavioral Pediatrician at the University of Colorado. You will be introduced to the deficits in children with autism spectrum disorder (ASD). Next, you’ll explore symptoms and diagnosis of ASD. Finally, you’ll review the cause and management of autism. 4 videos2 readings1 assignment In the next few lessons, you’ll learn about learning disorders and disabilities among children. You’ll experience an interview and answer dialogue with Dr. Caitlin Walsh, a Psychologist at the University of Colorado. You will be introduced to diagnostic criteria for learning disorders and disabilities. Next, you’ll learn how a diagnosis is made and by whom. Next, you’ll explore specific types of learning disorders in children. 5 videos2 readings1 assignment Next up is a learning about concussions and the symptoms children experience. We’ll gain a deeper understanding of the negative impacts of concussions and how they affect a child’s physical, mental, and emotional health. You will be introduced to common symptoms of a concussion and how to identify one. Next, you’ll learn what to do when a child has a head injury or fall while at school. Finally, you’ll explore what happens to Matthew, a child who suffered a concussion during a football game, and how you can help in the management of a concussion. 4 videos2 readings1 assignment

4 modules

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/managing-adhd-autism-learning-disabilities-and-concussion-in-school

98%

A Journey through Western Christianity: from Persecuted Faith to Global Religion (200 - 1650)

43,698

4.8

Bruce Gordon

Yale University

[]

This course follows the extraordinary development of Western Christianity from its early persecution under the Roman Empire in the third century to its global expansion with the Jesuits of the early modern world. We explore the dynamic and diverse character of a religion with an enormous cast characters. We will meet men and women who tell stories of faith as well as of violence, suppression, and division. Along the way, we encounter Perpetua and her martyrdom in Carthage; the struggles of Augustine the bishop in North Africa; the zeal of Celtic monks and missionaries; the viciousness of the Crusades; the visions of Brigit of Sweden; and the fracturing of Christianity by Martin Luther’s protest. We hear the voices of great theologians as well as of those branded heretics by the Church, a powerful reminder that the growth of Christianity is a story with many narratives of competing visions of reform and ideals, powerful critiques of corruption and venality, and exclusion of the vanquished. The troubled history of Christian engagement with Jews and Muslims is found in pogroms and expulsions, but also in the astonishing ways in which the culture of the West was transformed by Jewish and Islamic learning. We shall explore the stunning beauty of the Book of Kells, exquisitely prepared by monks as the Vikings terrorized the coast of England. We will experience the blue light of the windows of Chartres, and ponder the opening questions of Thomas Aquinas’ great Summa. We will read from the Gutenberg Bible of the fifteenth century, which heralded the revolution brought by the printing press. We will travel from Calvin’s Geneva to Elizabeth’s England to Trent, where a Catholic Council met to inaugurate a modern, missionary Catholic church. We will walk through the great Escorial of Philip II of Spain, hear the poetry of John of the Cross, and follow the Jesuits to Brazil and China. Christianity in the West was forged in the fires of conflict and tumult, and it brought forth both creativity and violence. It echoed with calls for God’s world to be transformed, it inspired the most sublime art and architecture, yet it also revealed the power of the union of cross and sword to destroy. The course is a journey through the formation of the West as one strand of Christianity, as one chapter in a global story. It is a journey that has shaped our world. Learn what this course is about, who's teaching it, and other ways you can explore this topic. Meet and greet your peers as well! 1 video4 readings1 discussion prompt “From Persecution to Empire,” explores the interaction between the second-century Christian Church and the Roman Empire in which it existed. After the faith’s birth in Palestine, Christianity spread throughout the Roman Empire with a rapidity that alarmed many Roman rulers. Persecution of Christians became common, and the experience of persecution shaped the Church. In 313 AD, the Roman Emperor Constantine ended persecution and Christianity transformed once more to become a pillar of Roman society. 6 videos3 readings1 assignment “Augustine and the North African Church,” studies two areas of early and vibrant Christian growth: Egypt and North Africa. These areas responded to intense Roman persecution by developing a theology of martyrdom. Indeed, both areas became bastions of early Christian theological thinking, with the North African Church producing the most important Christian theologian ever: Augustine of Hippo. 6 videos4 readings1 assignment “Monastic Lives: Desert Fathers to Celtic Christianity,” examines the origins of monasticism in Christianity. After the end of Roman persecution, some Christians chose to isolate themselves in the desert and deny themselves food, sleep, and material comforts. Why? And how did this movement develop into medieval monasticism? This module will explain the early roots and influence of monks and nuns in Christianity. 7 videos5 readings1 assignment “Reformers and Crusaders,” focuses on Christianity during the dawn of the medieval period. Here we ask: How did Christianity respond to the new feudal world of medieval Europe? Popes, monks, and knights became essential features of the Christian faith during this period, roughly 950 – 1350 AD. 8 videos6 readings1 assignment “Learning and Light,” examines two medieval Christian ideas that emerged at the same time and from the same impulse. The first is the scholastic educational initiative that dominated Christian theology and resulted in the founding of universities. The second is the beautiful, light-focused Gothic architectural style embodied in Europe’s great cathedrals. These two movements remain the quintessential features of medieval Christianity. Scholasticism and cathedrals emerged not only at the same time but also from the same source: a Christian conception of the unity of all things. 7 videos7 readings1 assignment “Three Religions: Christians, Jews & Muslims in Medieval Spain,” explores medieval Spain, a place in time with enormous importance for the history of Christianity. From the eighth through the fifteenth century, Spanish society included Christians, Jews, and Muslims, and Spain became the cultural capital of all three religions. Exploring medieval Spain, we will see how Christianity competed and cooperated with the non-Christian world. The central question explored in this module is: How should we remember the cultural interactions among Christians, Jews, and Muslims in medieval Spain 6 videos11 readings1 assignment “Medieval Devotion,” moves away from the universities and cathedrals of Europe and investigates the lives of ordinary Christians trying to maintain their spiritual lives in an era almost 1000 years ago. The Church developed and popularized many devotional practices in this era, a number of which remain a part of Christianity today. Sacraments, saints, relics, pilgrimages, and the papacy are examined in this module, as all experienced an enormous growth in importance during the medieval era. Many of these features of Christianity became controversial, with Protestant reformers of the sixteenth century rejecting some of these devotional and ecclesiological features. 9 videos8 readings1 assignment “Luther’s Reformation,” is the first of several modules to discuss the Reformation, and it does so by examining the life of the Reformation’s most iconic figure, Martin Luther. More than any other person, Luther was responsible for the seismic shifts in sixteenth-century Christianity that left the Western Church permanently fractured. Why did Luther launch his Reformation? What were his initial aspirations, and how did these change? Through the biography of Luther we will learn about the controversies that led to the Reformation and the early impact of this religious movement. 9 videos5 readings1 assignment “Fragmenting Reformation,” we will explore the Reformation further. After Luther set Europe ablaze, other reformers and rulers sought to impose their views onto Christianity. Soon—and as Catholics had feared—multiple forms of Protestantism emerged. Sixteenth-century Christians disagreed over what constituted proper ecclesiology, theology, and ritual practices, and soon the European religious landscape divided into different camps all insisting on different visions of Christianity. John Calvin became one of the most influential thinkers and organizers in this period, but even lesser known figures exerted enormous influence as Western Christendom experienced its most serious crisis. 8 videos7 readings1 assignment In “Catholic Reform,” we will see how Catholicism transformed itself during the sixteenth century, an era usually characterized by the Protestant Reformation. In response to the Protestant challenge, Catholicism began to reform key aspects of its practices, yet Catholic leaders resolutely defended their theology against Luther’s and Calvin’s attacks. And Catholicism also experienced transformations that had begun long before Luther launched his reforming campaign in 1517. A debate still exists amongst historians regarding the origins of Catholicism’s sixteenth-century reforms. Were these changes purely a response to the Protestant challenge? Or did Catholicism begin its early modern reforms long before Luther was ever born. This module explores these questions, along with the vibrant Catholic culture that emerged during the era of the Reformation. 7 videos7 readings1 assignment Our final module, “Jesuits and Mission,” we will see how, at the same time that Western Christianity fractured and reinvented itself due to the Reformation, the faith also followed Europe’s colonial paths and spread across the world. Catholic religious orders (including the newly founded Jesuit order) led the expansion of Christianity into non-European lands. Jesuits and other missionaries sought to inject Christianity into the societies they encountered, and to do so the Jesuits adapted to local cultural practices and added subtle features to Catholicism. For the first time, Christianity became a global religion. 6 videos9 readings1 assignment

12 modules

Beginner level

https://www.coursera.org/learn/western-christianity-200-1650

98%

Linear Regression

Enrollment number not found

4.6

Kiah Ong

Illinois Tech

['Probability And Statistics', 'Linear Regression', 'Statistical Inference', 'R Programming', 'Regression Analysis']

This course is best suited for individuals who have a technical background in mathematics/statistics/computer science/engineering pursuing a career change to jobs or industries that are data-driven such as finance, retain, tech, healthcare, government and many more. The opportunity is endless. This course is part of the Performance Based Admission courses for the Data Science program. This course will focus on getting you acquainted with the basic ideas behind regression, it provides you with an overview of the basic techniques in regression such as simple and multiple linear regression, and the use of categorical variables. Software Requirements: R Upon successful completion of this course, you will be able to: - Describe the assumptions of the linear regression models. - Compute the least squares estimators using R. - Describe the properties of the least squares estimators. - Use R to fit a linear regression model to a given data set. - Interpret and draw conclusions on the linear regression model. - Use R to perform statistical inference based on the regression models. Welcome to Linear Regression! In this course, we will cover the following topics: Simple Linear Regression, Multiple Linear Regression, and Regression Models with Qualitative Predictors. In Module 1, we will focus on defining the problem and setting up the simple linear regression model. Additionally, you will be introduced to the least square method as well as performing statistical inferences and predictions using R. There is a lot to read, watch, and consume in this module so, let’s get started! 15 videos11 readings8 assignments1 discussion prompt1 ungraded lab Welcome to Module 2 - Multiple linear Regression. This module will focus on deriving parameter estimation using matrices as well as using R to do prediction and inference. There is a lot to read, watch, and consume in this module so, let’s get started! 6 videos4 readings4 assignments Welcome to Module 3 – Regression Models with Qualitative Predictors. This module will focus on setting up a linear regression model that involves qualitative predictors. Additionally, we will use R to help us perform statistical inferences and Predictions. There is a lot to read, watch, and consume in this module so, let’s get started! 11 videos5 readings4 assignments This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course. Be sure to review the course material thoroughly before taking the assessment. 1 assignment

4 modules

Intermediate level

https://www.coursera.org/learn/illinois-tech-linear-regression

Responsible AI: Applying AI Principles with Google Cloud

8,750

4.5

Google Cloud Training

Google Cloud

[]

This course, Responsible AI: Applying AI Principles with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Responsible AI: Applying AI Principles with Google Cloud. As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach. In this module, you will learn about the impact of AI technology and Google's approach to responsible AI, and also be introduced to Google's AI Principles. 3 videos In this module, you will learn about how to make a business case for responsible AI, based on the report 'The Business Case for Ethics by Design' by the Economist Intelligence Unit. 2 videos In this module, you will learn about ethical dilemmas and how emerging technology such as generative AI can surface ethical concerns that need to be addressed. 2 videos In this module, you will learn about how Google’s AI Principles were developed and explore the ethical aims of each of these Principles. 3 videos In this module, you will learn about the practical application of responsible AI and how to operationalize AI principles by setting up and running reviews. 3 videos In this module, you will learn about the process of identifying possible ethical issues and identify issue spotting questions to think critically about the potential benefits and harms of a use case. 3 videos In this module, you will learn about the next steps and resources you can use to continue your responsible AI journey. 1 video1 reading1 assignment

7 modules

Beginner level

1 hour to complete

https://www.coursera.org/learn/responsible-ai-applying-ai-principles-with-google-cloud

Introduction to HTML, CSS, & JavaScript

31,178

4.4

Michelle Saltoun

IBM

['Web Development', 'JavaScript', 'Web', 'Cascading Style Sheets (CSS)']

Want to take the first steps to become a Web Developer? This course will help you discover the languages, frameworks, and tools that you will need to create interactive and engaging websites right from the beginning. You will begin by learning about the roles of front-end, back-end, and full-stack developers and how they work together on development projects. Through this, you will also become familiar with the terminology and skills needed in your career as a web developer. Next, you will explore the languages needed for developing websites or applications. You will gain a thorough understanding of HTML and CSS and learn how a combination of both technologies can help developers create the structure and style of their websites. Finally, you will learn how JavaScript can make your webpages dynamic with features that include interactive forms, dynamic content modification, and sophisticated menu systems. By learning the fundamentals of HTML5, CSS, and JavaScript you will be able to combine them to: - create the basic structure of a website - create format and layout for web applications - enhance your website and create rich, interactive applications - increase user interactivity and enhance user experience - give your website a real wow factor! In this course you will practice what you learn with numerous hands-on labs. Lastly, you will complete a final project where you will create a webpage to showcase your skills and have a great addition to your portfolio! The most fundamental tools for front-end developers are the languages they use for developing the website or app. Foremost among these languages is Hyper Text Markup Language (HTML). A thorough understanding of HTML, its features, support, and scripting capabilities makes a solid foundation for you to build your development skills on. 7 videos2 readings2 assignments1 app item5 plugins HTML5 has many elements that enable developers to create well-structured and varied websites. CSS is a style sheet language that defines how HTML elements are displayed. By using a combination of HTML5 and CSS, developers can create rich, interactive applications. The HTML5 elements provide ways to separate a HTML document into divisions, create headers and footers, define sections, create headings, and define the body of the document. In addition, there are many HTML5 elements that allow the user to interact with the website, inputting information in various formats like dates, times, numbers, email addresses and much more. The data is sent to the browser by using HTML, and the design is applied to that data by using CSS. To be able to create the structure and style you want for your site, you must be familiar with both languages. 5 videos1 reading2 assignments2 app items4 plugins You now have a website or Cloud App with structure and content from HTML, consistent style from CSS, and a limited amount of interactivity for the user. To enhance the user experience and create a real wow factor, you’re going to need JavaScript. With JavaScript, you can make your webpages dynamic by using features like interactive forms, picture slideshows, and sophisticated menu systems. 8 videos1 reading2 assignments1 app item4 plugins Now that you have been equipped with the skills to use HTML, CSS, and JavaScript, you will have the opportunity to practice and create a web application. In this scenario, you have been hired by a reputed placement company, ABC Consultant, whose primary focus is to help people with less than 5 years of experience to find a suitable placement in their industry. As a web developer, they have assigned you the task of creating a portfolio for one of their clients as a single static webpage to share with the prospective employers. 2 readings1 peer review2 app items3 plugins

4 modules

Beginner level

https://www.coursera.org/learn/introduction-html-css-javascript

94%

Machine Learning with Apache Spark

11,633

4.5

IBM Skills Network Team

IBM

['Machine Learning', 'Machine Learning Pipelines', 'Data Engineer', 'SparkML', 'Apache Spark']

Explore the exciting world of machine learning with this IBM course. Start by learning ML fundamentals before unlocking the power of Apache Spark to build and deploy ML models for data engineering applications. Dive into supervised and unsupervised learning techniques and discover the revolutionary possibilities of Generative AI through instructional readings and videos. Gain hands-on experience with Spark structured streaming, develop an understanding of data engineering and ML pipelines, and become proficient in evaluating ML models using SparkML. In practical labs, you'll utilize SparkML for regression, classification, and clustering, enabling you to construct prediction and classification models. Connect to Spark clusters, analyze SparkSQL datasets, perform ETL activities, and create ML models using Spark ML and sci-kit learn. Finally, demonstrate your acquired skills through a final assignment. This intermediate course is suitable for aspiring and experienced data engineers, as well as working professionals in data analysis and machine learning. Prior knowledge in Big Data, Hadoop, Spark, Python, and ETL is highly recommended for this course. In this module, you will gain knowledge of machine learning techniques that enable computers to perform tasks without explicit programming. You will explore the lifecycle of machine learning models and understand the crucial role of data engineering in machine learning projects. The module covers supervised and unsupervised learning techniques, including classification, regression, and clustering. Furthermore, you will acquire valuable insights into Generative AI and its potential to revolutionize multiple industries, enhance people's lives, and generate newer and previously unimaginable data and experiences. 11 videos5 readings2 assignments5 app items1 plugin This module will introduce you to Spark and provide an overview of its key features and applications in the field of data engineering. You will discover the process of connecting to a Spark cluster using SN labs and delve into various topics such as regression, mileage prediction, classification, diabetic classification, clustering, and clustering load data using SparkML. Additionally, you will gain insights into how to construct these models using Spark ML. Moreover, this module will cover GraphFrames on Apache Spark and guide you in hands-on labs. 5 videos2 readings2 assignments5 app items This module begins with Apache Spark Structured Streaming and its role in processing streaming data with Spark SQL. You will acquire knowledge about key terms associated with Structured Streaming. The module then covers the Extract-Transform-Load process and provides hands-on experience in transferring data from one source to another destination with varying data formats or structures. Additionally, you will gain a practical understanding of feature extraction and transformation using Spark extract and transform features. The module also delves into machine learning pipelines using Spark, demonstrating the process and benefits involved. Lastly, you will grasp the concept of model persistence and its significant role in Machine Learning. 6 videos2 readings2 assignments6 app items2 plugins In this module, you will apply the data engineering skills and techniques you have acquired throughout the course. The course concludes with a final project and assignments that allow you to demonstrate your proficiency in these areas. You will step into the role of a data engineer working at a renowned aeronautics consulting company recognized for its adeptness in handling large datasets. Your role as a data engineer is crucial as the data scientists rely on your expertise to carry out ETL (Extract, Transform, Load) tasks and establish machine learning pipelines. While data scientists possess expertise in machine learning, they depend on your specialized knowledge to handle various algorithms and data formats. Your contribution plays a vital role in ensuring the smooth execution of their tasks. 4 readings1 assignment2 app items

4 modules

Intermediate level

15 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/machine-learning-with-apache-spark

Executive Data Science Specialization

66,655

4.5

Roger D. Peng, PhD

Johns Hopkins University

['Data Science', 'Data Analysis', 'Communication', 'Leadership', 'Data Management']

In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects. Describe Data Science’s role in various contexts Understand how Statistics and Machine Learning affect Data Science Use the key terms used by data scientist Predict whether a Data Science project will be successful Describe the various roles that make up a Data Science team Manage a Data Science team onboarding Know relevant questions for interviewing data scientists Understand how to encourage and empower Data Science teams Differentiate between various types of data pulls Describe the basic data analysis iteration Explore datasets to determine if data is appropriate for a project Use statistical findings to create convincing data analysis presentations Identify strengths and weaknesses in experimental designs Learn novel solutions for managing data pulls Describe common pitfalls in communicating data analyses Understand a typical day in the life of a data analysis manager Apply your learning to a real-world scenario Lead a virtual data science team Manage a complex analysis project from start to finish Prepare and submit a final presentation

5 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/executive-data-science

Instructional Design Foundations and Applications

57,929

4.0

Eunjung Grace Oh

University of Illinois Urbana-Champaign

['Instructional Design', 'Analysis for Instructional Design', 'Instructional System Design', 'Learning and Instructional Theories', 'Instructional Design Modeling']

This course, Instructional Design Foundations, introduces learners to the conceptual and theoretical foundations of instructional design as well as the analysis aspect of instructional systems design in order to create an innovative instructional solution to performance problems in organizations. This particular course also introduces learners to concepts covered in the Instructional Design MasterTrack Certificate. Upon successful completion of this course, you will be able to: ●Describe the major concepts of instructional systems design ●Describe the major learning and instructional theories ●Describe the process of instructional design and instructional design models ●Describe various analysis activities for instructional design You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course. 1 video4 readings1 assignment1 discussion prompt In this module, we will identify and discuss the conceptual and historical foundations of instructional design. We will also discuss the landscape of instructional design careers and potential career paths. 5 videos1 reading1 assignment1 peer review In this module, we will focus on theoretical foundations including learning theories and instructional theories relevant to instructional design. We will also discuss different instructional design models and their unique characteristics. Finally, we will discuss talent development and its relationship with instructional design. 6 videos1 reading1 assignment In this module, we will discuss two important analyses of the instructional design process. First, we will learn context analysis, consisting of needs assessment and learning environment analysis. Second, we will discuss analysis of target learner characteristics. 9 videos1 reading1 assignment1 peer review In this module, we will focus on analyzing learning tasks. We will learn the primary process of task analysis including identifying learning goals and outcomes, conducting information processing analysis and prerequisites analysis, and developing learning objectives. 5 videos1 reading1 assignment

5 modules

12 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/instructional-design-foundations-applications

88%

The Sustainable Development Goals – A global, transdisciplinary vision for the future

98,626

4.8

Katherine Richardson

University of Copenhagen

[]

In 2015, the UN launched the 17 Sustainable Development Goals (SDGs). Adopted by 193 member states, the goals represent an important international step in setting humanity on a trajectory towards sustainable development. Within this course, you will get a historical overview of how sustainability has been understood, as well as a thorough introduction to the SDGs – what they are, how progress can be measured, and how the SDGs are relevant for the management of the global systems supporting humanity. The course will examine how various societal actors are responding to and implementing the SDGs. While all of the SDGs are essential to sustainable development, SDG 13, Climate Action, is usually perceived as the most urgent in terms of the need for a swift implementation on a global scale. Therefore, particular focus is given to this SDG. Through the course, you will gain up-to-date knowledge of the current understanding of human impacts on the Earth at the planetary level. Progress towards establishing global management of human interactions with the climate system within the United Nations Framework Convention on Climate Change (UNFCCC) is also discussed. The course is designed and taught by Professor Katherine Richardson, who is a member of the 15-person panel appointed by the UN General Secretary in 2016 to write the 2019 Global Sustainable Development Report. In each lecture, Katherine interviews experts who provide insights relevant to the topic at hand. In this first module, you will be introduced to the concept of sustainability, its roots, and history of development. The framework of the SDGs is outlined in more detail, and we will discuss what sets them apart from previous international agreements, how we can measure progress and how the goals are interconnected. We will touch upon food systems, as an example of how the SDGs are relevant for - and can be implemented in - global systems through international cooperation. 3 videos3 readings1 assignment1 discussion prompt In this second module, we will have a more detailed look at the scientific evidence that human activities are influencing the Earth at the planetary level. You will be introduced to the concepts of Anthropocene and Planetary Boundaries. The biosphere (all living organisms or "biodiversity") is arguably just as - or more - important than climate for establishing the environmental conditions we enjoy on Earth, but receives much less attention. This module, therefore, will focus on monitoring and managing human impacts on climate and biodiversity as well as the potential consequences of failing to meet the goals of the SDGs relating to climate and biodiversity. 3 videos2 readings1 assignment1 discussion prompt Where the last module focused on the impact of humanity's activities on the bio-physical components of the Earth system, this final section first focuses on the condition of humans, themselves, and the SDGs focusing on the improvement of that condition. You will be introduced to the concept of Doughnut Economics, which builds on the Planetary Boundaries framework. Finally, this module examines current status for implementation and provides examples of how different actors are engaging in global efforts to achieve the goals. 3 videos4 readings1 assignment2 discussion prompts

3 modules

Beginner level

https://www.coursera.org/learn/global-sustainable-development

98%

Introduction to Archaeology: Knowing The Past

Enrollment number not found

Rating not found

Molly Morgan

Rice University

[]

This course is an introduction to a series on the discipline of Archaeology. It is intended for learners at all stages, including advanced high school, college students, or life-long learners. Basic information about Archaeology and its history are presented in this course, while the following three courses cover scientific methods, forms of interpretation, and contemporary social issues that archaeologists engage with. Welcome to Introduction to Knowing The Past! Learn from experienced archaeologists about the science behind archaeological research and the tools used to interpret the past. Discover how archaeology contributes to our understanding of the world today. By the end of the course, you'll have a solid foundation in the principles of archaeology. Join us on this exciting journey through the fascinating world of archaeology! 2 videos4 readings1 peer review1 plugin Hey there! Are you curious about how we learn about the past? In this course, you'll meet archaeologists from all over the world and learn how they use scientific techniques to help us draw conclusions about what life was like for people in the past. We will also Learn about Archaeology's role in Anthropology, past approaches, and more. Come join us on this exciting journey! 7 videos7 assignments1 peer review1 discussion prompt Welcome to Knowing the Past, Rice University's the Overview! In this module, we'll provide important general background information on archaeology and help you get set up for success as you move through the following three courses. These courses cover Archaeology as Science, Archaeology as Reconstruction of the Past, and Archaeology as Activism. While we recommend taking them in order, you have the option to take them individually. By the end of the series, you'll have a comprehensive overview of what archaeology is today, and we'll provide you with resources to help you navigate the rest of the series. Let's get started! 4 videos5 assignments1 peer review1 discussion prompt Hello there! The Final Dig ⛏️ is the last module of each course, where you get to put all of your skills and knowledge into practice. It includes a discussion, a final assessment, a graded Peer Review self-evaluation, and a closing video. It's a moment of truth and an excellent opportunity to showcase your learning. You've done a fantastic job so far, and I'm sure you'll do great on the Final Dig ⛏️! 1 video2 assignments1 peer review

4 modules

Beginner level

13 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/introduction-to-knowing-the-past

Software Testing and Automation Specialization

64,996

4.2

Mike

University of Minnesota

['Unit Testing', 'Testing Automation', 'Static Analysis', 'White-box Testing Techniques', 'Black-box Testing Techniques']

This Specialization is intented for beginning to intermediate software developers seeking to develop knowledge and skill in implementing testing techniques and tools in the development of their projects. Through four courses, you will cover black-box and white-box testing, automated testing, web & mobile testing, and formal testing theory and techniques, which will prepare to you to plan and perform effective testing of your software. Applied Learning Project Learners will build test plans, test suites, and test analysis reports. Learners will develop properties and assertions in code to facilitate automated test generation. Learners will also create pre-conditions for methods to facilitate formal proofs of correctness. You will gain an understanding of the theory of testing. You will practice writing tests for a variety of quality intent, including code coverage, defect finding, and statistical testing. You will develop test plans to guide the testing stage of the software development lifecycle. You will create defect reports to provide transparency and understanding to supervisors, colleagues, and users. You will evaluate testability of requirements You will define testable units within a program specification You will select and apply black-box test input selection methods, including boundary-value analysis, fuzzing, and random selection You will develop automated tests and test oracles for automated software verification. This course introduces state-of-the-art techniques for automated analysis. Automated analysis encompasses both approaches to automatically generate a very large number of tests to check whether programs meet requirements, and also means by which it is possible to *prove* that software meets requirements and that it is free from certain commonly-occurring defects, such as divide-by-zero, overflow/underflow, deadlock, race-condition freedom, buffer/array overflow, uncaught exceptions, and several other commonly-occurring bugs that can lead to program failures or security problems. The learner will become familiar with the fundamental theory and applications of such approaches, and apply a variety of automated analysis techniques on example programs. After completing this course, a learner will be able to: - Understand the foundations of automated verification: randomization and symbolic representations - Distinguish the strengths and weaknesses of random testing, symbolic analysis, static analysis, and model checking - Use a variety of state-of-the-art static analysis and automated testing tools for automated verification - Create executable requirements as an oracle suitable for automated testing and symbolic analysis - Understand how the choice of oracle affects fault-finding for automated analysis strategies. - Use automated testing to achieve full mutation coverage - Create a test plan that utilizes both manually-written tests and automated tests towards maximizing rigor, minimizing effort and time, and minimizing test costs. This course is intended for learners interested in understanding the principles of automation and the application of tools for analysis and testing of software This knowledge would benefit several typical roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast. We expect that you have some familiarity with the Software development Life-Cycle, an understanding of the fundamentals of software testing, similar to what is covered in the Introduction to Software Testing and Black-box and White-Box Testing Courses. Familiarity with an object-oriented language such as Java or ability to pick-up Java syntax quickly to write and modify code, and willingness to use tools and IDEs are assumed. Modern applications that we build invariably have touch-points with its users through web-based and mobile platforms. Users interact with the software through these interfaces and the experiences those interfaces provide have a strong influence on the perceived quality of the software. The pace at which modern applications deploy new versions and features call for careful prioritization of testing effort and rapid execution through automation. Techniques and methods for testing of such applications will be the focus of this course. We will cover key concepts relevant to testing of web and mobile platforms, underlying techniques and the use of Selenium as a framework for automating testing of such applications. The learner will gain a solid foundation in web and mobile testing principles and the ability to use a testing framework to automate test execution.

4 course series

Intermediate level

2 months (at 10 hours a week)

https://www.coursera.org/specializations/software-testing-automation

Tropical Forest Landscapes 101: Conservation & Restoration

9,961

4.9

Eva Garen

Yale University

['Reforestation', 'Agroforestry', 'Conservation Science']

Conserving and restoring tropical forest landscapes offers an opportunity to address pressing environmental and social challenges. Effective conservation and restoration initiatives support multiple objectives, including ecosystem functioning, climate change mitigation and adaptation, food security, and economic growth. This seven-week course explores the technical, social, and funding aspects of this timely topic. You will learn: 1. The importance of tropical forest landscapes and the actors and motivations driving restoration and conservation efforts. 2. How tropical forest ecosystems work, and how they relate to climate change and biodiversity. 3. Fundamental human dimensions to consider in any project, including human livelihoods and local property rights. 4. Conservation theory and dynamic aspects of conserving species and landscapes. 5. A spectrum of restoration strategies and key considerations for restoration, such as species selection and planting design. 6. How agroforestry systems can integrate trees and production to meet different goals. 7. Basic financial concepts and potential sources of conservation and restoration funding. The materials in this course offer a selection of key content from the Yale School of the Environment and Yale Environmental Leadership & Training Initiative's yearlong Tropical Forest Landscapes: Conservation, Restoration & Sustainable Use online certificate program. Welcome to the course! In this module, we will begin exploring what tropical forest landscapes are and why they are important. We will also discuss threats to forest landscapes and motivations for conserving and restoring them. 7 videos7 readings2 assignments2 discussion prompts In this module, we will examine tropical forests from an ecological lens. Understanding how natural ecological processes work will lay the groundwork for knowing how to develop effective conservation and restoration techniques, which we will cover in later modules. 9 videos4 readings4 assignments Now that we have examined the ecological forces that shape tropical forest landscapes, we will shift our focus to people. In this module, we will consider how people are affected by and affect tropical forest landscapes and how considering local access to resources is a pivotal consideration when considering effective, equitable interventions. 13 videos6 readings2 assignments1 discussion prompt In this module, we will look at some fundamental conservation concepts. At its core, conservation involves protecting existing habitat or forest cover, but selecting where to prioritize protection, is more complicated. Conservation decisions depend on a suite of considerations, such as how one measures biodiversity, how one considers changes in the landscape over time, and how conservation affects other goals, such as ecosystem function. 8 videos4 readings4 assignments In this module, we will explore the process of restoration. As you will soon see, forest restoration encompasses a range of different practices. Selecting which practice to use will depend on a variety of considerations, starting with the level of degradation and the overall goals of the initiative. 12 videos7 readings3 assignments In the last two modules, we looked at fundamental concepts for both conservation and restoration. Here, we will look at a third approach to sustainable land management, which integrates tree cover with other agricultural practices: agroforestry. Agroforestry systems have many different forms and applications - we will learn about several of them here. 11 videos4 readings3 assignments1 discussion prompt In this last part of the course, we will learn about funding conservation and restoration initiatives. This module introduces some financial terminology and tools that are useful for communicating to investors, then discusses obtaining two different types of funding: philanthropic and public. 13 videos9 readings3 assignments2 discussion prompts

7 modules

Beginner level

https://www.coursera.org/learn/tropicalforests101

99%

Developing Front-End Apps with React

66,676

4.3

IBM Skills Network Team

IBM

['React (Web Framework)', 'Front-end Development', 'Web Development', 'JavaScript', 'User Interface']

Learn one of the most popular front-end frameworks, JavaScript React, in this hands-on course. Take the next step in your web development journey by learning how to build client-side user interfaces. You will develop these front-ends using components, the modular building blocks of React applications. You will learn about component composition to create rich functionality with features such as props, hooks, states, and event handling. You will explore component lifecycles and how to pass data and manipulate component states. Build your portfolio and gain practical experience by completing numerous hands-on labs in each lesson. At the end of the course, you integrate your skills with a final project by developing a shopping cart application. This course will help you succeed as a front-end, mobile or full-stack developer. It suits IT professionals looking to step up their careers or new graduates seeking to establish their client-side skills. Note that you will need basic HTML, CSS, JavaScript, and Git skills to get the most out of this course. In this module, you begin exploring frameworks and their use in React web development. You will start by comparing libraries and frameworks and then explore front-end frameworks further by learning about prominent features of React. Additionally, the module will introduce the Vite build tool for React project creation and guide you through setting up a React application. Understanding the directory structure will streamline your workflow. Additionally, the module will cover EcmaScript6 (ES6), and JSX fundamentals, including syntax and compilation, empowering you to create dynamic React components effortlessly. Moving forward, you will delve into the concepts of state management, using props, and handling events for each type. Finally, you will master the concept of state and props, understanding how data flows within your components. 11 videos3 readings3 assignments2 app items1 discussion prompt4 plugins In this module, you will learn concepts for building dynamic React applications, including function components, arrays, and using the virtual DOM. The first lesson begins with exploring props, default props, and event handling to pass data and create interactions between components. Next, you'll delve into component composition, learning its principles through practical examples. You'll also gain a solid understanding of state management in function components. Additionally, you'll become proficient in utilizing the useState hook to manipulate component states efficiently. In lesson two, you will explore arrays in React components and the virtual DOM. By the end of this module, you will be able to build web applications using React's array handling and the virtual DOM. 7 videos2 readings3 assignments2 app items3 plugins In the first lesson of this module, you will explore React hooks and their use for form management. You will also learn how to retrieve data from third-party external services and process it using the forms you build. In the second lesson, you learn Redux library core concepts, such as using actions, the Redux store, and reducers to manage the state of entire applications. You also explore the advantages and Redux use cases. The module will also address the challenges associated with using a synchronous tool such as Redux and how to overcome them using libraries such as Saga and Thunk. Furthermore, the lesson will introduce Redux Toolkit, a suite of utilities designed to simplify Redux tasks and streamline state management in your React applications. 9 videos2 readings3 assignments3 app items3 plugins You will create a React shopping cart app for your final project in the final module. You receive a grade on the project through a peer evaluation. You will also evaluate one of your peer’s projects using a rubric with objective grading criteria. You will apply and integrate many skills learned in the instructional modules, including creating functional components and updating those components using states and hooks. You will use Redux to manage states within your application using actions, reducers, and the store. The project architecture allows you to compose components using a nesting structure. You will also manage side effects with useEffect hooks. You will handle user events to render fetched data from an array and trigger corresponding actions. This module has a practice project that will assist you with developing the required components and functionality in the final project. 2 videos2 readings1 peer review3 app items2 plugins

4 modules

Intermediate level

https://www.coursera.org/learn/developing-frontend-apps-with-react

94%

Energy and Environment

3,025

4.9

Andy Friedland

Dartmouth College

[]

This course deals with both renewable and non-renewable energy. By applying scientific principles and considering real-world examples, you will examine: 1. Non-renewable fossil fuels with a focus on coal, petroleum and natural gas and the benefits and consequences of using each. 2. Renewable fuels such as wind and solar and identify that even renewable “green” energy sources have impacts as well as benefits. 3. Biodiversity and global change, which are the integrating units of environmental science. Additionally, you will explore answers to the following questions: 1. How do we evaluate coal, oil, and natural gas from an environmental science perspective? 2. What regulates energy conversions and losses in human-built systems? 3. How much energy “flows through your fingertips?” 4. How do we evaluate hydro, solar, wind, and biomass from an environmental science perspective? 5. How can we increase efficiency and conservation? You also take a tour of the Dartmouth Powerplant and listen to a conversation with Dartmouth Sustainability Director, Rosi Kerr. Furthermore, you will take a field trip to a PV tracker solar system, visit a straw bale house, and have a conversation about waste vegetable oil as an energy source in India. This module explores some concepts related to energy such as its forms, conservation with a special stress on non-renewable energy. 2 videos11 readings1 assignment6 discussion prompts This module describes how energy use and energy resources, specifically coal, oil, and natural gas, have varied over time. 4 videos9 readings2 assignments7 discussion prompts This module explores the patterns of renewable energy use and explains the hydro, solar, wind, and biomass energy. It also discusses how energy use can be decreased and efficiency can be increased. 6 videos13 readings4 assignments13 discussion prompts This module explores the impacts of global environmental changes including feedback loops, ocean acidification, sea level rise, and human equity issues. 3 videos5 readings3 assignments8 discussion prompts

4 modules

Beginner level

22 hours to complete (3 weeks at 7 hours a week)

https://www.coursera.org/learn/energy-and-environment

ANOVA and Experimental Design

4,994

4.0

Brian Zaharatos

University of Colorado Boulder

['Calculus', 'and probability theory.', 'Linear Algebra']

This second course in statistical modeling will introduce students to the study of the analysis of variance (ANOVA), analysis of covariance (ANCOVA), and experimental design. ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important design-related concepts, such as randomization, blocking, factorial design, and causality. Some attention will also be given to ethical issues raised in experimentation. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Logo adapted from photo by Vincent Ledvina on Unsplash In this module, we will introduce the basic conceptual framework for experimental design and define the models that will allow us to answer meaningful questions about the differences between group means with respect to a continuous variable. Such models include the one-way Analysis of Variance (ANOVA) and Analysis of Covariance (ANCOVA) models. 9 videos3 readings9 quizzes2 programming assignments1 peer review1 discussion prompt2 ungraded labs In this module, we will learn how statistical hypothesis testing and confidence intervals, in the ANOVA/ANCOVA context, can help answer meaningful questions about the differences between group means with respect to a continuous variable. 6 videos2 readings4 quizzes1 programming assignment1 peer review2 ungraded labs In this module, we will study the two-way ANOVA model and use it to answer research questions using real data. 7 videos6 quizzes1 programming assignment1 peer review1 ungraded lab In this module, we will study fundamental experimental design concepts, such as randomization, treatment design, replication, and blocking. We will also look at basic factorial designs as an improvement over elementary “one factor at a time” methods. We will combine these concepts with the ANOVA and ANCOVA models to conduct meaningful experiments. 7 videos2 readings5 quizzes1 programming assignment1 peer review2 ungraded labs

4 modules

Intermediate level

https://www.coursera.org/learn/anova-and-experimental-design

Internet of Things: Multimedia Technologies

24,505

4.7

Harinath Garudadri

University of California San Diego

[]

Content is an eminent example of the features that contributed to the success of wireless Internet. Mobile platforms such as the Snapdragon™ processor have special hardware and software capabilities to make acquisition, processing and rendering of multimedia content efficient and cost-effective. In this course, you will learn the principles of video and audio codecs used for media content in iTunes, Google Play, YouTube, Netflix, etc. You will learn the file formats and codec settings for optimizing quality and media bandwidth and apply them in developing a basic media player application. Learning Goals: After completing this course, you will be able to: 1. Explain the tradeoffs between media quality and bandwidth for content delivery. 2. Extract and display metadata from media files. 3. Implement and demonstrate a simple media player application using DragonBoard™ 410c. Welcome to the Internet of Things! Before diving into this course give us a chance to let you know what it is all about! We will walk you through a module by module outline that will give you highlights on the interesting aspects of the course. 1 video1 reading In this course, you will see a lot of new words and acronyms you might not be familiar with. If you feel comfortable with your knowledge of tech terminology, feel free to skip these lessons since they will not affect the overall integrity of the course. If you see something that you want to know a little more about, feel free to watch the video to gain insight on some basic concepts. We do expect you to know the majority of this material before going into the next module, we would recommend going through the lessons as a quick brush up. 16 videos1 reading1 assignment In this module our esteemed Professor Harinath Garudadri will talk about coders and decoders (Codecs). This will allow us to make better use of our multimedia choices when working with the DragonBoardTM 410c. We want to look at the motivation behind using Codecs, the different ways to take advantage of redundancies when using codecs and finally the ability to take advantage of different receiver / transmitter combinations. If we are able to understand the way that information is sent and received over the data plane we can create and use the right codecs. 11 videos1 reading1 assignment In this module we will talk in depth about computer vision. We will talk about a variety of current applications of computer vision, and brainstorm the future applications you all are capable of making! Ultimately we will set up a computer vision development environment on your Linaro/Debian release capable of creating a wide variety of computer vision projects. By the end of this module we will have built a great basic application in Python, we will add a few features and pass the code on to you! Hopefully this code can serve as a great template for you all to use. 13 videos2 readings1 assignment

4 modules

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/internet-of-things-multimedia

Love as a Force for Social Justice

39,890

4.7

Anne Firth Murray

Stanford University

[]

The objectives of this course are: -To introduce participants to different concepts of love, to empower them to be conscious of the power of love and the possibility of practicing it in everyday life, and to highlight in particular the idea of love as a force for social justice. -To communicate a sense of personal strength and empowerment by actively learning from each other and beginning to define how participants can apply their learning in service to society. This course will explore the concept of agape love (compassion/kindness) as a force for social justice and action and as the inspiration for service and the application of knowledge to positive social change. Biological, psychological, religious, and social perspectives of love will be discussed, drawing on the expertise of people from a variety of disciplines. During the six-week course, the following topics will be raised and discussed: kinds of love/defining love; non-violent communication; love and the biology of the brain; love as a basic concept of religious and ethical beliefs (e.g., Judaism, Christianity, Islam, Buddhism, Gandhian); love applied in action, and poetic expressions of love as a social force. This curriculum aims to foster a sense of the importance of love as a key phenomenon in creating community, connection, and functional societies among humans. Course materials will draw from a variety of sources. One of the goals of the class is to provide participants with some knowledge of the literature of love, and readings for the course are listed in the outline of the course on the pages that follow. Course introduction 1 video3 readings 2 videos7 readings2 peer reviews 3 videos7 readings2 peer reviews 4 videos9 readings 2 videos8 readings2 peer reviews 3 videos6 readings 1 video4 readings 4 readings2 peer reviews 1 video9 readings3 peer reviews 1 video5 readings 2 videos3 readings1 peer review

11 modules

Beginner level

https://www.coursera.org/learn/love-social-justice

98%

The entrepreneur's guide for beginners

34,855

4.6

Sergio Villanueva Baselga

Universitat de Barcelona

[]

The Entrepreneur's Guide for beginners and is a course created in collaboration with all Catalan public universities and EIT Health and aims to be the starting point for all those who want to improve their knowledge and skills in the world entrepreneurship. In this course you will be able to identify a business opportunity, develop the business model (and the steps to validate it) and know the main mechanisms to find your business. In addition, you will have the help of experts who will be there to help you resolve any questions that may arise during the course. Sign up! 6 videos1 assignment 5 videos1 reading1 assignment 5 videos1 assignment 8 videos1 assignment 2 videos1 assignment

5 modules

Beginner level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/entrepreneur-guide-beginners

Communicating Data Science Results

16,852

3.4

Bill Howe

University of Washington

[]

Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB. In order to complete this assignment, you will need to make use of Amazon Web Services (AWS). Amazon has generously offered to provide up to $50 in free AWS credit to each learner in this course to allow you to complete the assignment. Further details regarding the process of receiving this credit are available in the welcome message for the course, as well as in the assignment itself. Please note that Amazon, University of Washington, and Coursera cannot reimburse you for any charges if you exhaust your credit. While we believe that this assignment contributes an excellent learning experience in this course, we understand that some learners may be unable or unwilling to use AWS. We are unable to issue Course Certificates for learners who do not complete the assignment that requires use of AWS. As such, you should not pay for a Course Certificate in Communicating Data Results if you are unable or unwilling to use AWS, as you will not be able to successfully complete the course without doing so. Making predictions is not enough! Effective data scientists know how to explain and interpret their results, and communicate findings accurately to stakeholders to inform business decisions. Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to exploit the enormous bandwidth of the human visual cortex. In this course you will learn to recognize, design, and use effective visualizations. Just because you can make a prediction and convince others to act on it doesn’t mean you should. In this course you will explore the ethical considerations around big data and how these considerations are beginning to influence policy and practice. You will learn the foundational limitations of using technology to protect privacy and the codes of conduct emerging to guide the behavior of data scientists. You will also learn the importance of reproducibility in data science and how the commercial cloud can help support reproducible research even for experiments involving massive datasets, complex computational infrastructures, or both. Learning Goals: After completing this course, you will be able to: 1. Design and critique visualizations 2. Explain the state-of-the-art in privacy, ethics, governance around big data and data science 3. Use cloud computing to analyze large datasets in a reproducible way. Statistical inferences from large, heterogeneous, and noisy datasets are useless if you can't communicate them to your colleagues, your customers, your management and other stakeholders. Learn the fundamental concepts behind information visualization, an increasingly critical field of research and increasingly important skillset for data scientists. This module is taught by Cecilia Aragon, faculty in the Human Centered Design and Engineering Department. 14 videos1 peer review Big Data has become closely linked to issues of privacy and ethics: As the limits on what we *can* do with data continue to evaporate, the question of what we *should* do with data becomes paramount. Motivated in the context of case studies, you will learn the core principles of codes of conduct for data science and statistical analysis. You will learn the limits of current theory on protecting privacy while still permitting useful statistical analysis. 14 videos Science is facing a credibility crisis due to unreliable reproducibility, and as research becomes increasingly computational, the problem seems to be paradoxically getting worse. But reproducibility is not just for academics: Data scientists who cannot share, explain, and defend their methods for others to build on are dangerous. In this module, you will explore the importance of reproducible research and how cloud computing is offering new mechanisms for sharing code, data, environments, and even costs that are critical for practical reproducibility. 17 videos1 assignment1 programming assignment

3 modules

7 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/data-results

Design Principles: an Introduction

66,124

4.6

Scott Klemmer

University of California San Diego

['A/B Testing', 'User Experience (UX)', 'User Experience Design (UXD)', 'User Interface']

What makes an interface intuitive? How can I tell whether one design works better than another? This course will teach you fundamental principles of design and how to effectively evaluate your work with users. You'll learn fundamental principles of visual design so that you can effectively organize and present information with your interfaces. You'll learn principles of perception and cognition that inform effective interaction design. And you'll learn how to perform and analyze controlled experiments online. In many cases, we'll use Web design as the anchoring domain. A lot of the examples will come from the Web, and we'll talk just a bit about Web technologies in particular. When we do so, it will be to support the main goal of this course, which is helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology. Welcome to the course! Here are some helpful resources to guide you through this course. 2 videos2 readings Our lecture videos in this module begin with the major innovation of the graphical interface: enabling people to perform input directly on top of output. This directness makes interfaces easier to learn because it enables people to recognize familiar elements. And continuous feedback makes interfaces easier to use, encourages exploration, and prevents errors. To illustrate the benefits of direct manipulation in real interfaces, the videos provide several examples of both particular designs and interface styles. I find that's a lot more useful than just stating abstract principles. Now is a good time to remind everyone that I am not endorsing (or rejecting) any particular product, organization, or person. What I am doing: real people in the real world make real design decisions -- you can learn from this -- and in this course I'll discuss these concrete examples so you can gain real knowledge. The rest of the videos will cover topics related to the importance of representations, such as understanding a user's mental model and helping people to distribute cognition. I will show some examples of how representational differences can impact performance. As you watch these videos, think about how you have arranged or lamented representations in your everyday life. Maybe you put your keys by the door, sunglasses on your hat, or a post-it on your laptop? You'll get a chance to delve into these examples in the assignment. 5 videos2 readings1 peer review1 discussion prompt So far, many examples in our videos have been physical. I like physical examples because they’re often easier to understand, and they durably express fundamental principles. Equipped with those fundamentals, we'll now focus more on concrete issues in interaction design to help you flesh out your interactive prototypes. This module’s videos introduce visual and information design. These are the nuts and bolts of user interfaces: scale, contrast, pattern, shape, color, typography, and layout. What I hope you'll take away from these lectures is a newfound appreciation for how subtle changes in this visual variables can powerfully impact people's experience of documents and interfaces. Dive into the first visual design lecture here. Visual design organizes the world of information. As this module’s lectures show, that visual organization provides important cues, yet the structure itself is often invisible. 4 videos3 readings1 peer review After you’ve made a design, how do you know whether it is good? Or if your team has a couple ideas it is considering, how do you know which one is better? Rather than arguing, throwing chairs, or playing rochambeau, we suggest getting your designs in front of real users to see how well they actually work. To enable you to do this, our final module of lectures will introduce you to designing, running, and analyzing experiments. Testing your ideas with people and using what you learn to make them better can often mean the difference between a flop and a hit. Usability testing also gives you a chance to flex your rapid prototyping muscles. Build several interfaces quickly, try them out with people, and use what you learn to revise them. Through repeated iteration and testing, you can end up with a wonderfully polished interface. For me, the most exhilarating aspect of running experiments is the element of surprise. Nearly every time my students, colleagues, and I run a study, we learn something that we never even thought to think of. Sometimes, it's a roadblock or bug. Other times, it's an unexpected new use of a system -- many great startups have emerged out of finding unexpected new uses for technology. Either way, it'll give you new fodder for design. As in the prototyping lectures, the evaluation lectures emphasize comparison -- testing multiple ideas. In many ways, design is choice, and comparing multiple interfaces helps you make good choices. Learn more about designing studies here. 8 videos2 readings1 assignment1 peer review

4 modules

Beginner level

https://www.coursera.org/learn/design-principles

93%

Generalized Linear Models and Nonparametric Regression

4,134

4.4

Brian Zaharatos

University of Colorado Boulder

['Calculus', 'and probability theory.', 'Linear Algebra']

In the final course of the statistical modeling for data science program, learners will study a broad set of more advanced statistical modeling tools. Such tools will include generalized linear models (GLMs), which will provide an introduction to classification (through logistic regression); nonparametric modeling, including kernel estimators, smoothing splines; and semi-parametric generalized additive models (GAMs). Emphasis will be placed on a firm conceptual understanding of these tools. Attention will also be given to ethical issues raised by using complicated statistical models. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Logo adapted from photo by Vincent Ledvina on Unsplash In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, including the most common binomial link functions; correctly interpret the binomial regression model; and consider various methods for assessing the fit and predictive power of the binomial regression model. 7 videos4 readings3 quizzes2 programming assignments2 peer reviews1 discussion prompt2 ungraded labs In this module, we will consider how to model count data. When the response variable is a count of some phenomenon, and when that count is thought to depend on a set of predictors, we can use Poisson regression as a model. We will describe the Poisson regression in some detail and use Poisson regression on real data. Then, we will describe situations in which Poisson regression is not appropriate, and briefly present solutions to those situations. 7 videos2 quizzes1 programming assignment1 peer review3 ungraded labs In this module, we will introduce the concept of a nonparametric regression model. We will contrast this notion with the parametric models that we have studied so far. Then, we’ll study particular nonparametric regression models: kernel estimators and splines. Finally, we will introduce additive models as a blending of parametric and nonparametric methods. 6 videos1 quiz1 programming assignment1 peer review3 ungraded labs Some models, such as linear regression, are easily interpretable, but inflexible, in that they don't capture many real-world relationships accurately. Other models, such as neural networks, are quite flexible, but very difficult to interpret. Generalized additive models (GAMs) are a nice balance between flexibility and interpretability. In this module, we will further motivate GAMs, learn the basic mathematics of fitting GAMs, and implementing them on simulated and real data in R. 6 videos1 reading2 quizzes1 programming assignment1 peer review3 ungraded labs

4 modules

Intermediate level

https://www.coursera.org/learn/generalized-linear-models-and-nonparametric-regression

Sustainable Transportation Networks and Streetscapes

2,831

4.8

William Roper

Johns Hopkins University

['complete streets', 'Urban Planning', 'thoroughfare network design', 'smart streets', 'stormwater management']

This course will evaluate best practices in transportation networks, thoroughfares, and streetscape designs for the effective movement of people, goods, and services in a region. Sustainable public and private streetscape design and application will be reviewed and evaluated for applications for sustainable cities. Considerations are assessed for smart urban planning, growth, and lifestyle. Strategies for creating equitable, healthy, and sustainable communities are also evaluated. By the end of this course, you will be able to: 1. Survey and evaluate thoroughfare network considerations for connectivity, block size and sidewalk interaction. 2. Compare different complete street design options for application in smart growth planning. 3. Evaluate sidewalk design and planning strategies for public and private sidewalks to include street tree configurations and street light design. 4. Examine issues of water management with specialized curb design, ground water recharge areas and swales as part of the streetscape design and planning. 5. Identify and evaluate the differences between free-flow, slow-flow, and yield-flow thoroughfare design concepts. 6. Assess and evaluate smart urban planning, growth, and lifestyle indicators. The target audience for this course includes: - Government Officials involved planning, designing, monitoring, enforcement, and assessment of sustainable project developments at the local, state, and federal level. - Private sector companies in the transportation and municipal design and construction business - Architects interested in advancing sustainable concepts for cities and communities - Foundations, associations, and other NGOs that support smart growth strategies - Academic faculty and students studying and researching community sustainability and resilience - Private citizens interested in improving their communities and living conditions The importance of sustainable city thoroughfares designed to interconnect into a hierarchical network is introduced. The largest thoroughfares allow for direct connection to the urban center. Analysis of smart urban planning growth and lifestyles is also discussed. 7 videos2 readings1 assignment1 discussion prompt1 plugin Neighborhoods typically have a range of thoroughfare types to facilitate the movement of people through the neighborhood. Sustainable smart growth neighborhoods are designed to equitably allow pedestrians, bicycles, and the automobiles to move within the community. This module will evaluate a variety of techniques and policies that encourage this balanced multimodal use of transportation thoroughfares. 6 videos1 reading Sustainable public streetscapes are much more than just a part of the infrastructure to facilitate the movement of automobiles. In addition to the vehicular lanes, they must include sidewalks, trees, curbs, lighting, and other elements that collectively constitute a sustainable public streetscape. Public streetscapes require careful design attention to contribute to a successful neighborhood. This requires a full range of regional appropriateness that corresponds to the transect. Private streetscapes are an extension of the public streetscape but relate specifically to the private sector building configuration and frontage design. Successful private sector streetscapes can include properly sized porches students, terraces, balconies, that enhance activity to the street. 6 videos1 assignment

3 modules

Intermediate level

4 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/sustainable-transportation-networks-and-streetscapes

Introduction to Automated Analysis

14,740

4.2

Mike

University of Minnesota

['Software Testing', 'Formal Verification', 'Test Automation']

This course introduces state-of-the-art techniques for automated analysis. Automated analysis encompasses both approaches to automatically generate a very large number of tests to check whether programs meet requirements, and also means by which it is possible to *prove* that software meets requirements and that it is free from certain commonly-occurring defects, such as divide-by-zero, overflow/underflow, deadlock, race-condition freedom, buffer/array overflow, uncaught exceptions, and several other commonly-occurring bugs that can lead to program failures or security problems. The learner will become familiar with the fundamental theory and applications of such approaches, and apply a variety of automated analysis techniques on example programs. After completing this course, a learner will be able to: - Understand the foundations of automated verification: randomization and symbolic representations - Distinguish the strengths and weaknesses of random testing, symbolic analysis, static analysis, and model checking - Use a variety of state-of-the-art static analysis and automated testing tools for automated verification - Create executable requirements as an oracle suitable for automated testing and symbolic analysis - Understand how the choice of oracle affects fault-finding for automated analysis strategies. - Use automated testing to achieve full mutation coverage - Create a test plan that utilizes both manually-written tests and automated tests towards maximizing rigor, minimizing effort and time, and minimizing test costs. This course is intended for learners interested in understanding the principles of automation and the application of tools for analysis and testing of software This knowledge would benefit several typical roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast. We expect that you have some familiarity with the Software development Life-Cycle, an understanding of the fundamentals of software testing, similar to what is covered in the Introduction to Software Testing and Black-box and White-Box Testing Courses. Familiarity with an object-oriented language such as Java or ability to pick-up Java syntax quickly to write and modify code, and willingness to use tools and IDEs are assumed. In this module we will learn about a range of techniques for analysis of programs and methods to automate testing. Along the way we will learn how to specify properties of interest to check about a program and capture assumptions about the environment for effective testing. To reinforce some of the important concepts learned we will practice automated testing using effective tools on a concrete example. 8 videos1 reading5 assignments1 programming assignment The focus of this module is to understand how various techniques can help us automate the generation of useful and numerous tests. We will examine ways to specify and use properties of the system and the environment to guide the generation of test data. 8 videos4 assignments1 programming assignment The goal of this module is to introduce the learner to the principles of statically analyzing programs, understand how analysis techniques work by looking at some example analyses, and some good practices to follow when designing programs to enable the tools to help us detect and avoid defects. The learner will gain an understanding of using static analysis tools by looking at one concrete tool. 5 videos1 reading3 assignments This module will examine how to use effective automation techniques for a variety of purposes such as performing effective regression testing, discovering security vulnerabilities and monitoring software at run-time for critical properties. 6 videos2 readings4 assignments

4 modules

Intermediate level

19 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/automated-analysis

Foundations of Global Health Specialization

18,794

4.8

Mija Ververs

Johns Hopkins University

['Nutrition', 'International Law', 'Humanitarian', 'Public Health', 'Nutrition', 'International Law', 'Humanitarian', 'Public Health']

This specialization is intended for people working or aspiring to work in global health programming. You will learn the foundational building blocks of effective program planning, implementation, and evaluation in a variety of settings, including low- and middle-income countries and humanitarian crises. Applied Learning Project Learners will complete a project in each course. Along the way, you will analyze a health system, propose a primary health care intervention, develop a community health worker training plan, propose a humanitarian intervention, analyze a community undergoing change, and perform a health belief assessment. Welcome to our course on Understanding and Strengthening Health Systems for Global Health. During the course we will provide you with an overview of the main elements or building blocks of a health system based on the World Health Organization’s guidance. You will have the opportunity to explore four main areas of health systems in global health with particular reference to low and middle income countries. The first area focuses on understanding health service organizations, the challenges. Our second module looks at WHO’s six major building blocks or health systems components with particular reference to primary health care and the need for community participation in planning, delivery and assessment of these systems components. in our third module we examine the specific systems component of human resource development and capacity building. The fourth area consists of health policy making and advocacy with stakeholders. This course is geared toward learners who are already involved in managing health and development programs on the ground in low and middle income countries or who are preparing for such a management role. The main lectures will span a four-week period with approximately 2-4 hours of viewing learning materials per week. We have one peer graded essay wherein you will use skills in ‘organizational’ diagnosis to better understand a challenge in an organization where you are or have worked. There are also quizzes. We hope you will engage with your fellow learners in discussion forums to learn from each other. This course, Public Health in Humanitarian Crises 1, introduces discussions about the public health approach to problems experienced by people affected by disasters, both natural and related to conflict. The course discusses the many changes which occur in people’s lives when they are uprooted by a disaster, ranging from changes in disease patterns, access to health care, livelihoods, shelter, sanitary conditions, nutritional status, etceteras. We will explore what humanitarian interventions could look like if we want to mitigate the effects of disasters. The course content is a mix of theoretical knowledge and many practical examples from recent disasters. We think this course is unique because it contains so many practical ‘real-life’ examples and is taught by instructors and guest lecturers who together have over 200 years of experience in this field. The course consists of 10 modules totaling approximately 9-10 hours of delivered content with an additional 2-3 hours of self-work (quizzes and writing and evaluating a short peer-review assignment) as well as lively discussions forums. The course has been designed in a way that each module builds on the lessons of previous modules. However, you may do the modules in any order and some can be done separately. You do not have to pay for this course if you choose to enroll without a certificate. Sometimes referred to as auditing, enrolling without a certificate means that you will have access to all of the videos, quizzes, assignments, and discussions. The only difference is that you will not receive a certificate upon completion. Click the Enroll Without a Certificate link to sign up and begin the course. Even if you enroll in a session that has yet to begin, you may access most of the course materials right away by clicking the Preview Course Materials link. However, you will have to wait for the session to begin before posting your comments on the discussion forum or accessing the final peer-reviewed assessment. Visit the Learner Help Center for details about session schedules. If you want to learn more, there is a second course which follows this one entitled, Public Health in Humanitarian Crises 2. We welcome you to take this. The course has a similar set-up and discusses additional topics, such as infectious disease outbreaks, disease epidemiology, maternal and newborn health, mental health, humanitarian project design, humanitarian principles, and many other topics. This course explores why primary health care is central for achieving Health for All. It provides examples of how primary health care has been instrumental in approaching this goal in selected populations and how the principles of primary health care can guide future policies and actions. Two of the most inspiring, least understood, and most often derided terms in global health discourse are “Health for All” and “Primary Health Care.” In this course, we will explore these terms in the context of global health, their origins and meanings, the principles upon which they rest, and examples of how these principles have been implemented at both small and large scale. We will also explore some ultra-low-cost approaches to Health for All through primary health care, and the promise that primary health care holds for eventually achieving Health for All. Each module of this course consists of approximately one hour or lecture, approximately one hour of additional readings or video presentations, and two additional hours devoted to studying for each of the quizzes, writing and evaluating two short peer-review assignments, and participating in the discussion forums. Developed in collaboration with Johns Hopkins Open Education Lab. Health behavior lies at the core of any successful public health intervention. While we will examine the behavior of individual in depth in this course, we also recognize by way of the Ecological Model that individual behavior is encouraged or constrained by the behavior of families, social groups, communities, organizations and policy makers. We recognize that behavior change is not a simplistic process but requires an understanding of dimensions like frequency, complexity and cultural congruity. Such behavioral analysis is strengthened through the use of a toolkit of theoretical models and practical frameworks. While many of such models and frameworks exist, in this course we will review the Health Belief Model, Social Learning Theory, Theory of Reasoned Action, the Trans-Theoretical Model and the PRECEDE Framework. After building your behavioral analysis toolkit with these examples, you will see that actual behavior change program planning uses a combination of ideas and variables from different models, theories and frameworks. Ultimately we aim to encourage course participants to apply the idea that successful programs are theory based as they go about involving people in improving their health. In bringing about behavior change in public health, we often focus on the individual mother, student, or farmer. We should not forget the community structure and norms constrain for encouraging individual health behaviors. This course examines the community context of the changes needed to promote the public’s health. We begin by examining the various definitions of ‘community’ and the processes by which we ‘diagnose’ or seek to understand the structure and characteristics of different types of communities. An appreciation of community similarities and differences is necessary lest we fall into the trap of designing one-size-fits-all interventions. We need to recognize that no matter that outsiders may view a community as poor or neglected, we can find strengths and capacities for improvement in each community. Identifying community capacities and resources is the first step in facilitating community change. Different practical and philosophical approaches to change and therefore, examined. Specific to the change process is our recognition of the need for communities to participate in the design, implementation and evaluation of any intervention. We examine the concept of participation in an effort to see how different levels of involvement may affect sustainability of community change efforts. Finally a case study of a community participatory approach to onchocerciasis control in Africa is presented. Community Directed Intervention has subsequently been successfully applied to providing other essential primary health care services by and in the community, such as insecticide treated bednets, malaria treatment, vitamin A distribution, deworming medicines, and pneumonia and diarrhea case management. Volunteer community health workers (CHWs) are a major strategy for increasing access to and coverage of basic health interventions. Our village health worker training course reviews the process of training and continuing education of CHWs as an important component of involving communities in their own health service delivery. Participants will be guided through the steps of planning training and continuing education activities for village volunteers. The course draws on real-life examples from community-directed onchocerciasis control, village health worker programs, community case management efforts, peer educators programs and patent medicine vendor training programs, to name a few.

6 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/specializations/global-health

Renewable Energy: Manufacturing Career Exploration

Enrollment number not found

Rating not found

Marjaneh Issapour

University at Buffalo

['Renewable Energy', 'Supply Chain', 'Advanced Manufacturing Equipment', 'Design For Manufacturability']

This course offers information regarding renewable energy manufacturing sectors and occupations. It is aimed at high school students, first- and second-year undergraduates, and adults interested in learning about manufacturing careers that support the renewable energy industry. A focus on offshore wind occupations provides context, through manufacturing skills are typically transferrable to other sectors. 2 readings This module provides a foundation for this course by examining our national energy consumption and where we are moving toward in the future with renewable energies. You will be introduced to different types of renewable energies, why they are important, and how they are powering our everyday lives. 3 videos1 reading1 assignment1 discussion prompt This module provides an in-depth exploration of all aspects of wind energy, beginning with a brief introduction to its benefits for communities across New York State. It also covers what an offshore wind project involves and explains how wind turbines operate. 3 videos4 readings1 assignment Learners will gain in-depth knowledge of how the offshore wind industry operates, with a focus on the supply chain sector. 2 videos2 readings1 assignment This module provides insights into the offshore wind workforce demand with a focus on the increase of manufacturing roles arising throughout the industry in NYS. Learners will gain an understanding of the education & training requirements for these occupations. 3 videos4 readings1 assignment In this module, learners will be introduced to essential training equipment used in common manufacturing roles within the offshore wind industry. The module will include hands-on demonstrations of the equipment and emphasize its significance for quality control in the manufacturing of parts. Additionally, learners will gain insights from an engineering student specializing in manufacturing at Farmingdale State College. 5 videos1 reading1 discussion prompt This assignment will take you through four steps to mapping out your ideal career in offshore wind manufacturing. Using the template provided in Step 1 and the resources throughout the steps, you will discover a new career path and establish the pathways it takes to launch this new career opportunity. 5 readings1 peer review

7 modules

Beginner level

4 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/renewable-energy-manufacturing-career-exploration

Build Your Professional ePortfolio in English

112,974

4.7

Karen Peterson

Georgia Institute of Technology

[]

Roughly half of the world’s population is already online and so setting yourself apart from the crowd is more important than ever before. One of the best ways to do that is by creating your own ePortfolio. An ePortfolio is a site that showcases or shows your background, your resume, and samples of your work. In this course, you will learn step by step how to build the site and you’ll learn the grammar, vocabulary and writing skills needed to create it. You will learn how to apply information from your ePortfolio to other online tools like LinkedIn, Twitter, Instagram and YouTube in order to network with others so that you get a job or connect with other professionals. For each step in that process, you will listen to lectures, take comprehension quizzes, and learn how to use English appropriately to each part of your site. You will also complete self and peer assessments and gain the needed skills to make your ePortfolio a reality and establish yourself online. By the end of this course, you will be able to • Write a proper headline or title for your ePortfolio • Describe your work in 1 sentence and in longer forms • Identify how to use hashtags effectively • Write an effective summary about yourself and your work • Apply appropriate vocabulary to write your education and professional experience for your resume • Understand how to write a tweet to get a job • Discover how to write specific comments and network work with others • Apply what you have on your portfolio to other tools like Instagram, Twitter, LinkedIn or YouTube. This module focuses on getting your ePortfolio branding ready by creating an effective headline and summary of your capabilities. 3 videos7 readings2 assignments1 peer review1 discussion prompt This module focuses on writing about your work and accomplishments. You will learn to write about your work in a one sentence caption as well as in a longer descriptive paragraph. 2 videos4 readings2 assignments1 peer review This module focuses on getting your education and work experience up-to-date and professionally ready on your resume. 2 videos3 readings2 assignments1 peer review1 discussion prompt This module focuses on networking online with other professionals to make meaningful connections and to create new career opportunities. 2 videos5 readings2 assignments1 peer review1 discussion prompt

4 modules

13 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/eportfolio-english

98%

How Music Can Change Your Life

30,925

4.7

Katrina Skewes McFerran

The University of Melbourne

[]

Did you ever wonder how music works? This course provides free video, audio and journal resources that explain six basic principles about how music can influence individual and community health and wellbeing. From biology and neuroscience, to psychotherapy and politics, the ways we engage with music can make all the difference. Music has always played an integral role in the lives of individuals and communities all around the globe. This course explores the ways that music can be used to achieve positive changes with a particular emphasis on the most vulnerable persons. Six different understandings will be explored, each with their own set of values and assumptions. The greatest thinkers in each approach believe that their way of explaining the power of music is right, but we will show that understanding music in its entirety delivers the best results in each unique circumstance. Once we understand the various ways that music can change the world, we can make informed decisions about how best to employ its extraordinary power. Learners who engage in this MOOC can expect to both deepen and broaden their understanding of how music can be used with individuals, groups and communities. Specifically: • To distinguish between how music works on the body, in the brain, through the unconscious, for bonding, as political action and in reflecting culture, • To design practical programs that utilise music to support individuals, groups and communities based on examples shared in the ‘on-site’ case studies. View the MOOC promotional video here: http://tinyurl.com/jnde3w3 Music has been used throughout history and across cultures to influence the body, but only in recent decades have researchers been able to examine how it is processed through the brain. These recent discoveries explain the relationship between features of music like rhythm, and improvements in physical health, particularly in rehabilitation. They also explain why people with Alzheimer’s disease remember all of the words to songs but can’t have a clear conversation. In this unit we hear and see how music has been used, often by qualified music therapists working in hospitals, to influence the body and support fitness and rehabilitation. 9 videos5 readings1 assignment2 discussion prompts How much music is included in schools varies significantly, between countries and even around the corner. Learning music can happen in classrooms and through individual lessons. It can also be used to promote wellbeing and foster inclusion of diverse students. Researchers have investigated whether learning music results in higher achievement in other cognitive, social and psychological domains. In this unit we showcase some of that research and carefully consider what kinds of musical experiences are needed to achieve the different goals. 7 videos3 readings1 assignment2 discussion prompts Music can be a powerful way to explore and comprehend our deepest emotions. When used in psychoanalysis, this can lead to rich experiences that may even reveal aspects of our unconscious world that can be processed within the safety of the therapeutic relationship. Within the field of music therapy, practitioners often debate the relative merits of free improvisation on instruments in comparison to using the preferred songs of clients in therapy. Both afford opportunities to deepen our understanding of ourselves and our relationships to others, and music more generally can be used as a health resource that travels with us as we recover from being acutely unwell and continue the journey of life. 9 videos3 readings1 assignment2 discussion prompts Have you ever used music to try and improve a relationship in your life? Playing the right background music is one thing, but what about singing with another person, or improvising on musical instruments in responsive and caring ways. Listening is the key to intimacy in any relationship and music can be the perfect vehicle to explore listening in new ways. We explore intimacy between parents and infants, therapists and clients and the ways that music therapists engage in musicking with people to build relationships that help. 6 videos3 readings1 assignment2 discussion prompts Is the power of music strongest when used by groups and communities? Music has often been used by groups of people to express their shared beliefs, but it can be just as powerful when we connect musically with people whose beliefs and backgrounds are different. When we sing in choirs and dance in groups, a sense of community can be fostered that transcends differences and highlights those things that we share. But music has also been used to encourage one group to fight against another group of people, so using music requires careful consideration of power and privilege to ensure that change is for the greater good. 7 videos3 readings1 assignment2 discussion prompts Each of us belongs to a range of culture and subcultures, including our ethnic heritage, our gender and sexuality, our abilities and ages. Many of us live in diverse neighbourhoods and cities where it is not enough to be culturally tolerant - we need to be culturally curious and engaged. Music is a powerful way of honouring diversity in culture and has been used to transcend differences and come together as many voices singing one song. We explore how important it is to be aware of our own power and privilege when musicking with people from cultures other than our own. 7 videos3 readings1 assignment2 discussion prompts We finish up the course this week with some closing remarks and a final assignment for you to undertake. We've also included some bonus podcasts and an interview for those who are interested. 2 videos5 readings1 peer review

7 modules

Beginner level

https://www.coursera.org/learn/music-life

98%

Finance for Non-Finance Professionals

182,029

4.8

James Weston

Rice University

['Financial Accounting', 'Capital Budgeting', 'Corporate Finance', 'Finance']

This short course surveys all the major topics covered in a full semester MBA level finance course, but with a more intuitive approach on a very high conceptual level. The goal here is give you a roadmap and framework for how financial professional make decisions. We will cover the basics of financial valuation, the time value of money, compounding returns, and discounting the future. You will understand discounted cash flow (DCF) valuation and how it compares to other methods. We also step inside the mind of a corporate financial manager and develop the basic tools of capital budgeting. We will survey the how, when, and where to spend money, make tradeoffs about investment, growth, dividends, and how to ensure sound fiscal discipline. Our journey then turns to a Wall Street or capital markets perspective of investments as we discuss the fundamental tradeoff between risk and return. We then synthesize our discussion of risk with our valuation framework and incorporate it into series of direct applications to practice. This course requires no prior familiarity with finance. Rather, it is intended to be a first step for anyone who is curious about understanding stock markets, valuation, or corporate finance. We will walk through all of the tools and quantitative analysis together and develop a guide for understanding the seemingly complex decisions that finance professionals make. By the end of the course, you will develop an understanding of the major conceptual levers that push and pull on financial decision making and how they relate to other areas of business. The course should also serve as a roadmap for where to further your finance education and it would be an excellent introduction of any students contemplating an MBA or Finance concentration, but who has little background in the area. Welcome to Finance for Non-Finance Professionals! In this section you will find general information about the course and instructions on how to navigate the course. For the first week of lectures, we will be covering the basics of financial valuation. We will start with the basics of compounding and discounting rates of return over time. Using these tools we will then move on to valuation using the discounted cash flow method. Along the way, we will demonstrate our valuation tools with a variety of practical examples and compare our analysis with other valuation techniques. 15 videos3 readings2 assignments1 discussion prompt Welcome to the second week of Finance for Non-Finance Professionals! In this week of the course, we will build on the basic valuation tools from week one to start making capital budgeting decisions. Our capital budgeting review covers the basic tools like Net Present Value, Internal Rate of Return, Payback period, and return on capital. Our discussion of the relative advantages of each different tool leads us into sensitivity analysis and the advantages of spreadsheet modeling. 11 videos1 reading2 assignments Welcome back to Finance for Non-Finance Professionals! In our third week together, we will go on a treasure hunt through the financial statements. Using discounted cash flows as our motivation, we search through the income statement and balance sheet for all the uses and sources of cash. Our search leads us to our primary measure of value creation: Free Cash Flow. Free cash flow will form the basis of most financial analysis and this module gives us a roadmap for estimating and forecasting cash creation within any organization. 10 videos1 reading2 assignments Welcome back everyone! In our final week together in this course, we switch gears and take an external view of the firm from a Wall Street, or capital markets, perspective. We think about the basic tradeoff between risk and return, how to measure risk, and how to put a risk premium on different kinds of investments. We then take our analysis of risk and return and use it to estimate a firm's cost of capital. Finally, we circle back to free cash flows, capital budgeting and valuation to tie together all four weeks and get ready for our capstone case analysis. 10 videos2 readings2 assignments In this final part of the course we bring all of our analysis to bear on a realistic case study. We will evaluate the investment prospects of Sunrise Bakery. As their CFO considers a large capital expenditure, she needs to think about the tradeoff between spending money today and generating more free cash flow in the future. Our job in this case is to forecast the amount of cash generation the new equipment will produce, discount the cash flows, and use all of our capital budgeting tools to make a sound financial recommendation. 1 video3 readings2 assignments

5 modules

Beginner level

https://www.coursera.org/learn/finance-for-non-finance

96%

Calculus for Machine Learning and Data Science

60,582

4.8

Luis Serrano

DeepLearning.AI

['Calculus', 'Machine Learning', "Newton'S Method", 'Gradient Descent', 'Mathematical Optimization']

Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises. As a learner in this program, you'll need basic to intermediate Python programming skills to be successful. After completing this course, learners will be able to: • Analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients • Approximately optimize different types of functions commonly used in machine learning using first-order (gradient descent) and second-order (Newton’s method) iterative methods • Visually interpret differentiation of different types of functions commonly used in machine learning • Perform gradient descent in neural networks with different activation and cost functions Many machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back by a lack of math skills. This Specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow visualizations to help you see how the math behind machine learning actually works.  We recommend you have a high school level of mathematics (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditional statements, debugging). Assignments and labs are written in Python but the course introduces all the machine learning libraries you’ll use. After completing this course, you will be able to: 28 videos7 readings2 assignments1 programming assignment1 ungraded lab2 plugins 15 videos1 reading2 assignments1 programming assignment2 ungraded labs1 plugin 17 videos4 readings2 assignments1 programming assignment3 ungraded labs1 plugin

3 modules

Intermediate level

https://www.coursera.org/learn/machine-learning-calculus

96%

Mathematics for Machine Learning: Multivariate Calculus

142,479

4.7

Samuel J. Cooper

Imperial College London

['Linear Regression', 'Vector Calculus', 'Multivariable Calculus', 'Gradient Descent']

This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future. Understanding calculus is central to understanding machine learning! You can think of calculus as simply a set of tools for analysing the relationship between functions and their inputs. Often, in machine learning, we are trying to find the inputs which enable a function to best match the data. We start this module from the basics, by recalling what a function is and where we might encounter one. Following this, we talk about the how, when sketching a function on a graph, the slope describes the rate of change of the output with respect to an input. Using this visual intuition we next derive a robust mathematical definition of a derivative, which we then use to differentiate some interesting functions. Finally, by studying a few examples, we develop four handy time saving rules that enable us to speed up differentiation for many common scenarios. 10 videos4 readings6 assignments1 discussion prompt1 plugin Building on the foundations of the previous module, we now generalise our calculus tools to handle multivariable systems. This means we can take a function with multiple inputs and determine the influence of each of them separately. It would not be unusual for a machine learning method to require the analysis of a function with thousands of inputs, so we will also introduce the linear algebra structures necessary for storing the results of our multivariate calculus analysis in an orderly fashion. 9 videos5 assignments2 ungraded labs Having seen that multivariate calculus is really no more complicated than the univariate case, we now focus on applications of the chain rule. Neural networks are one of the most popular and successful conceptual structures in machine learning. They are build up from a connected web of neurons and inspired by the structure of biological brains. The behaviour of each neuron is influenced by a set of control parameters, each of which needs to be optimised to best fit the data. The multivariate chain rule can be used to calculate the influence of each parameter of the networks, allow them to be updated during training. 6 videos3 assignments1 programming assignment1 discussion prompt1 ungraded lab The Taylor series is a method for re-expressing functions as polynomial series. This approach is the rational behind the use of simple linear approximations to complicated functions. In this module, we will derive the formal expression for the univariate Taylor series and discuss some important consequences of this result relevant to machine learning. Finally, we will discuss the multivariate case and see how the Jacobian and the Hessian come in to play. 9 videos5 assignments1 plugin If we want to find the minimum and maximum points of a function then we can use multivariate calculus to do this, say to optimise the parameters (the space) of a function to fit some data. First we’ll do this in one dimension and use the gradient to give us estimates of where the zero points of that function are, and then iterate in the Newton-Raphson method. Then we’ll extend the idea to multiple dimensions by finding the gradient vector, Grad, which is the vector of the Jacobian. This will then let us find our way to the minima and maxima in what is called the gradient descent method. We’ll then take a moment to use Grad to find the minima and maxima along a constraint in the space, which is the Lagrange multipliers method. 4 videos4 assignments1 discussion prompt1 ungraded lab In order to optimise the fitting parameters of a fitting function to the best fit for some data, we need a way to define how good our fit is. This goodness of fit is called chi-squared, which we’ll first apply to fitting a straight line - linear regression. Then we’ll look at how to optimise our fitting function using chi-squared in the general case using the gradient descent method. Finally, we’ll look at how to do this easily in Python in just a few lines of code, which will wrap up the course. 4 videos1 reading2 assignments1 programming assignment1 ungraded lab1 plugin

6 modules

Beginner level

https://www.coursera.org/learn/multivariate-calculus-machine-learning

91%

Lightcap 2: Basics of light and its effects on humans

Enrollment number not found

Rating not found

Yvonne de Kort

Eindhoven University of Technology

[]

Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light. LIGHTCAP’s 2 “Basics of light and its effects on humans: Light, cognition, alertness, sleep” covers light as a physical phenomenon and introduces important psychological and chronobiological outcomes – how to measure them and how light acts on them. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is a combination of physics, psychology and chronobiology. In this course you will: (1) be introduced to important concepts such as cognition, alertness and sleepiness and self-report tools to measure them (2) learn what light is. What standard light sources have been defined by the CIE and how we measure light (3) learn how light is processed in human eyes and be introduced to new measures of light since the discovery of the ipRGC (4) learn how psychophysiology responds to light and how we measure these responses (5) be introduced to EEG as a method of measuring cognition and alertness (6) see how EEG is being applied in light research and learn about basics of EEG data visualisation and interpretation (7) learn about the link between light and sleep health (8) understand in greater depth the impact of light on sleep health and learn that there may be important individual differences in non-visual light sensitivity Welcome to Course 2 of the LightCap project, titled "Basics of light and its effects on humans". This course explains the mechanisms through which light impacts human (psycho)physiology, and explains ways through which the light itself and the effects on us humans can be measured. It covers light as a physical phenomenon and introduces important psychological and chronobiological outcomes, how to measure them and how light acts on them. The basis of this course is a combination of physics, psychology and chronobiology. 2 videos4 readings In this first lecture, Vaida asks if you ever wonder how your memory or attention are doing? Or how your lighting environment can modulate how efficient you are at performing tasks or simply how you feel? There are many ways to measure cognitive abilities and various states. In this lecture we will dive into the various methods used in lighting research, going from performance tasks to common questionnaires. As we review the methods, we will briefly go back on the last 20+ years of research on how light can influence behaviour and/or health. Finally, and perhaps most importantly, the limits of each measurement will be discussed. With the help of this lecture, you will be able to: recognize and understand the measures often used in investigations, critically review them and apply them in your future research endeavours. 3 videos1 assignment In this lecture, Mahsa explains measures and CIE standards of light sources. Light is electromagnetic radiation that can be perceived by the human eye through some cells in the retina. Visible light has different wavelengths in the range of 400–700 nanometres (nm) with different intensity, frequency, and spectral power distribution. There are two basic types of light sources: natural light, the sun which is called daylight, and artificial light sources such as fluorescent lamps and LEDs. In this lecture, we will focus on the standardization of light sources in human life based on the International Commission on Illumination (CIE). We will talk about light metrology terms such as radiance, irradiance, luminance, and illuminance and learn how to measure different light sources and calculate light parameters to design light for a specific purpose. 5 videos1 assignment In this lecture, Mahsa will dive deeper into the human eye system and the sensitivity of different cells - photoreceptors- in it. We now know that there are three classes of photoreceptors in the human retina - cones, rods, and intrinsically photosensitive retinal ganglion cells (ipRGCs) expressing the photopigment melanopsin. Each of these photoreceptors differs in spectral sensitivity, temporal properties, and distribution across the retina. Since the discovery of ipRGCs we have developed new guidelines for light measurement. In this lecture, we will learn what alpha-opic and melanopic light measurements are and how we compute them. Last, Mahsa will explain the basics of metameric light. 5 videos1 assignment In lecture 4, Vaida discusses general psychophysiology in response to light. The environment, and in particular lighting conditions, do not always clearly affect human behaviour or the subjective answers to the questions: “Do you feel sleepy or alert?”, “How stressed are you feeling?”. However, that doesn’t imply that there are no effects. Indeed, some bodily responses can let us know if a light manipulation had an effect, or even improved our health. We look at hormones, investigate the frequency of heart beats, observe how pupils dilate and constrict and how eyes move, or study changes in electrodermal activity. In this lecture, we will oversee the psychophysiology in response to light manipulation, how signals are measured, processed, and interpreted. With this knowledge, you should be able to understand the main concepts in psychophysiology of light, and know which direction to go to if you want to consider physiology in your future studies. 2 videos1 assignment In this lecture, Elif introduces electroencephalography (EEG) – a means to measure brain activity on the scalp. EEG is one of the most widely used neuroimaging methods that give us insight into underlying electrophysiological processes in the brain. In this lecture, we will have a general introduction to EEG methods to objectively measure cognition and attention with examples from the application in the lighting domain. We will start learning about the nature of the EEG signals, brain oscillations, and concepts such as spectral power distributions. We will learn about Evoked Response Potentials (ERPs) and some of the most common forms of ERPs. We will learn about EEG Frequencies along with other ways to look at the EEG data sets. 6 videos1 assignment In this lecture, Elif will dive deeper into the analysis of electro-physiological data. She will talk about the role and importance of pre-processing of the EEG signals and go over the pipeline steps as it is very important for researchers to know what they are doing as they are clearing their data or conducting more sophisticated pre-processing. Later, we will look at the applications of this type of analysis in the lighting field while having examples from papers in the form of case studies. Examples will include topography pilots, ERP pilots, spectral density pilots, connectivity measures, etc. Lastly, we will briefly discuss about how to evaluate these plots from a critical perspective. 3 videos1 assignment In this lecture, Rafael discusses the importance of sleep and why we need to consider sleep in the lighting domain. You might have come across sentences like “blue light at night is bad for your sleep”. While the core message is clear, it is important to understand how and under what circumstances light can influence human sleep. In this lecture, we will explore light and its powerful trait as a “Zeitgeber”- a synchroniser for the “inner clock”. To understand the link between light and sleep we will 1) summarise the basics of sleep regulation, and circadian rhythms 2) briefly review measurement techniques of sleep and circadian rhythmicity 3) discuss implications for behavioural treatments of (circadian) sleep disorders. 6 videos1 assignment To close this course, Rafael discusses the link between light and sleep health in more depth. While ubiquitous in modern society, artificial light during the night can disrupt the “inner clock” and human sleep. However, recent empirical evidence suggests profound individual variation in these non-visual effects, which is rarely considered in real-life lighting settings. In this lecture we aim to 1) summarize essential non-visual effects of light 2) discuss how to assess non-visual light sensitivity 3) review individual factors that have been shown to influence non-visual light sensitivity (e.g., age, prior light history, chronotype) and 4) address implications for real-life setting. 5 videos1 assignment

9 modules

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/lightcap-2-basics-and-effects

Meta Database Engineer Professional Certificate

58,470

4.6

Taught by Meta Staff

Meta

['database management', 'Tabular records', 'database administration', 'SQL and Python syntax', 'MySQL']

Want to get started in the world of database engineering? This program is taught by industry-recognized experts at Meta. You’ll learn the key skills required to create, manage and manipulate databases, as well as industry-standard programming languages and software such as SQL, Python, and Django used for supporting outstanding websites and apps like Facebook, Instagram and more. In this program, you’ll learn: Core techniques and methods to structure and manage databases. Advanced techniques to write database driven applications and advanced data modeling concepts. MySQL database management system (DBMS) and data creation, querying and manipulation. How to code and use Python Syntax How to prepare for technical interviews for database engineer roles. Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property. Applied Learning Project You’ll complete a series of 5 projects in which you will demonstrate your proficiency in different aspects of database engineering. You’ll demonstrate your skills with database normalization by structuring your own relational database by defining relationships between entities and developing relational schema. This is followed by a stored procedure project in which you’ll demonstrate your competency in SQL automation by writing a stored procedure to solve real world problems. After developing your skills in Python, you’ll create a Python application to administer a MySQL database and program its interactions with clients. In the next project, you are required to apply data modeling to a real-world project by enacting advanced data modeling concepts such as automation, storage and optimization. Finally, you’ll be tasked with creating a MySQL database solution for an app by drawing on the knowledge and skills that they have gained throughout the program. Concepts and principles that underpin how databases work . Plan and execute a simple database development project . Implement Version Control systems Navigate and configure using the command line Use a GitHub repository. Create a GitHub repository Manage code revisions Utilize the MySQL DBMS to build and modify relational databases with SQL. Create relationships between tables using primary and foreign keys . Add decision structures and functionality to a MySQL databases using SQL functions and operators on numbers and strings. Automate SQL by writing a stored procedure to solve real world problems . Foundational programming skills with basic Python Syntax. How to use objects, classes and methods. Utilize Python code to create, populate and manipulate MySQL databases and tables. Create a useful Python application capable of administration of a MySQL database. Deploy basic data modeling skills and navigate modern storage options for a data warehouse. Demonstrate data modeling skills within a real-world project environment. Build a MySQL database solution. Deploy level-up ideas to enhance the scope of a database project. Prepare for a coding interview Prepare for a Meta interview Solve problems using code

9 course series

Beginner level

6 months (at 6 hours a week)

https://www.coursera.org/professional-certificates/meta-database-engineer

Online Games: Literature, New Media, and Narrative

21,603

4.6

Jay Clayton

Vanderbilt University

[]

Intended for both newcomers who are curious about video games and experienced gamers who want to reflect on their passion, this course will explore what happens to stories, paintings, and films when they become the basis of massively multiplayer online games. The Lord of the Rings trilogy—the novels, films, and video game—are our central example of how “remediation” transforms familiar stories as they move across media. The course is designed as a university-level English literature class—a multi-genre, multimedia tour of how literature, film, and games engage in the basic human activity of storytelling. Our journey will enable us to learn something about narrative theory, introduce us to some key topics in media studies and cover some of the history and theory of video games. It will also take us to some landmarks of romance literature, the neverending story that lies behind most fantasy games: J.R.R. Tolkien’s The Fellowship of the Ring, a bit of Edmund Spenser’s Faerie Queene, and poems by Keats, Tennyson, Browning, and others. Drawing on centuries of romance narrative conventions, the twenty-first century gaming industry has become a creative and economic powerhouse. It engages the talents of some of our brightest writers, artists, composers, computer engineers, game theorists, video producers, and marketing professionals, and in 2012, it generated an estimated $64 billion in revenue. Anyone interested in today’s culture needs to be conversant with the ways this new medium is altering our understanding of stories. Join me as we set out on an intellectual adventure, the quest to discover the cultural heritage of online games. The course opens with a brief look at gaming culture and history, then introduces the chief game we will study, Turbine's "The Lord of the Rings Online." We then look at some key concepts in game theory such as remediation and Jesper Juul's treatment of rules and game design from his book "Half-Real: Video Games between Real Rules and Fictional Worlds." We end by considering games as journeys using Constantine Cavafy's poem "Ithaca."For details about this week's Readings, go to the Syllabus page in your Resources tab. ***For details about this week's Readings, go to the Syllabus page in your Resources tab. 9 videos1 reading2 assignments After an overview of storytelling modes, we turn to Tolkien and his work. We then examine the role of quests in games and literature. Finally, we introduce romance and lyric literature using Robert Browning's poem "Childe Roland to the Dark Tower Came." ***For details about this week's Readings, go to the Syllabus page in your Resources tab. 10 videos2 assignments1 peer review This week we journey into the Mines of Moria, comparing a scene in Tolkien's novel, Peter Jackson's film, and "The Lord of the Rings Online." Then it's back to romance literature to delve into the intricacies of allegory, plot, theme, and character. The week closes with a look at John Keats' haunting ballad, "La Belle Dame sans Merci." ***For details about this week's Readings, go to the Syllabus page in your Resources tab. 13 videos2 assignments Week 4's initial focus is our natural concepts of space and time, and how these dimensions inform the "storyworld" of a narrative. We then examine how directors, authors, and video game developers use these innate frameworks to tell stories, invoking Seymour Chapman's book "Film and Discourse: Narrative Structure in Fiction and Film." Close attention is paid to the mechanics of point of view, and how its use allows artists to connect with audiences. ***For details about this week's Readings, go to the Syllabus page in your Resources tab. 10 videos2 assignments1 peer review Hold on tight as we plunge into a discussion of Edmund Spenser's "The Faerie Queene," one of the greatest romance poems in English. You will see for yourself how deep the vein of romance is when you read this story of knights, castles, an evil seductress, and an indomitable heroine. Then watch how a group of students remediated the same story in a video game they created: "Faerie Queene Online." ***For details about this week's Readings, go to the Syllabus page in your Resources tab. 7 videos2 assignments Since Aristotle, the one constant in the study of narrative has been the analysis of beginnings, middles, and ends. As is appropriate for our last week, we spend much of our time examining how Tolkien takes leave of his readers at the end of "The Lord of the Rings" trilogy. The final stage of MMOs--when your character has maxed out and completed all the quests--has always presented challenges to game makers. Although LOTRO continues to take us on our journey toward Mordor, it cannot escape the challenge of creating end-game material for advanced players. We look at two attempts to include advanced players in the events of Western Rohan and Helm's Deep. Finally, we ponder what comes after the end, as we read Alfred, Lord Tennyson's poem, "Ulysses." ***For details about this week's Readings, go to the Syllabus page in your Resources tab. 9 videos2 assignments1 peer review

6 modules

Beginner level

https://www.coursera.org/learn/interactive-media-gaming

95%

Technical Troubleshooting: Diagnostics, Networks, Customers

Enrollment number not found

Rating not found

Luca Berton

Coursera Instructor Network

['Stakeholder Communication', 'Problem-Solving Proficiency', 'Technical Support Excellence', 'Network Troubleshooting', 'Incident Diagnosis']

In an era of rising technology integration and complexity, the need for proficient technical troubleshooters who can effectively communicate solutions is more critical than ever. This course aims to equip IT professionals with the skills to navigate and resolve complex IT challenges while maintaining strong stakeholder relationships. By engaging with current case studies, learners will find the course's content relevant and directly applicable to modern IT environments. This included effectively diagnosing incidents, managing network equipment, and communicating strategies for every stakeholder. This course is designed for IT professionals, from novices to seasoned experts, aiming to sharpen their troubleshooting skills and communication abilities. Gain practical techniques to tackle complex software and network issues confidently. Elevate your support game and provide top-notch assistance to end-users and clients. No specific prerequisites needed. Basic understanding of computer systems and network configurations is helpful, along with general problem-solving skills. Basic communication skills are recommended for effective interactions with non-technical stakeholders. With these foundations, learners can fully engage with and apply the course content. Upon course completion, learners will develop skills to excel in IT support roles. They'll analyze and resolve complex software issues systematically, troubleshoot networks effectively, and enhance communication with non-technical stakeholders. By synthesizing troubleshooting and communication strategies, they'll improve customer satisfaction and navigate challenges professionally. In an era of rising technology integration and complexity, the need for proficient technical troubleshooters who can effectively communicate solutions is more critical than ever. This course aims to equip IT professionals with the skills to navigate and resolve complex IT challenges while maintaining strong stakeholder relationships. By engaging with current case studies, learners will find the course's content relevant and directly applicable to modern IT environments. 10 videos4 readings1 assignment3 discussion prompts

1 module

Beginner level

1 hour to complete

https://www.coursera.org/learn/technical-troubleshooting-diagnostics-networks-customers

Structural scheme setting and ETABS Analysis of RCC Building

Enrollment number not found

Rating not found

Subject Matter Expert

L&T EduTech

['Develop proficiency in understanding and working with architectural designs and layout planning.']

This course is designed to familiarize learners with various aspects of reinforced concrete building design, offering a multifaceted approach to enhance their skills. This comprehensive course explores crucial aspects of structural engineering, covering architectural drawing interpretation, and scheme setting. The course will cover common floor systems such as continuous two-way slabs and flat slabs, as well as drop panel design, sizing considerations, and edge beam functions. The module then shifts focus to reinforced concrete columns, emphasizing critical considerations in their location, sizing, and architectural significance. Lateral load systems, including shear walls, are explored in compliance with IS 1893 standards. Additionally, learners gain practical proficiency in ETABS modeling for multi-storey buildings and SAFE modeling for detailed floor system design, ensuring a holistic understanding and application of structural design principles. This module covers essential aspects of structural scheme setting and design for buildings, focusing on interpreting architectural drawings, scheme design for reinforced concrete buildings, and floor systems. Learners will explore popular concrete floor systems such as flat slab systems and continuous two-way slabs, delving into sizing considerations, drop panel design, and the role of edge beams. The module provides practical insights into beam structures and edge beam sizing, ensuring a comprehensive understanding of structural design principles for effective application in engineering projects. 20 videos1 assignment This module delves into the structural scheme setting and the design of reinforced concrete columns. Learners will learn about the critical considerations in locating and sizing columns, exploring the architectural significance of their placement. The module further covers the axial load design, preliminary sizing, and important parameters of columns. Lateral load systems, including shear walls, are discussed with a focus on compliance with IS 1893 standards, ensuring a comprehensive understanding of structural design principles for effective application in building projects. 18 videos1 assignment This module provides a comprehensive introduction to ETABS modeling for structural analysis and design. Learners will be guided through various stages of building modeling, with a specific focus on the structural model for a multi-storey reinforced concrete building of up to 50 m tall, using software ETABS. 17 videos1 assignment This course module offers a comprehensive introduction to SAFE modeling for structural design, focusing on the floor system. Learners will be guided through the intricacies of modeling flat slabs using the direct design method, analyzing two-way slabs, and estimating deflections in edge beams for a reinforced concrete building. 19 videos1 assignment

4 modules

Intermediate level

12 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/structural-scheme-setting-and-etabs-analysis-of-rcc-building

Generative AI: Elevate your Software Development Career

10,563

4.6

Rav Ahuja

IBM

['Software Engineering', 'Software Development', 'Code generation', 'AI prompts', 'Generative AI']

Generative AI is transforming the field of Software Engineering, making it a crucial skills for Developers to have in their toolkit. This IBM course "Generative AI for Software Developers" is designed to provide you with a comprehensive understanding of how generative AI techniques can be applied to enhance software development processes. This course is designed to offer the necessary skills and knowledge needed to leverage AI-powered tools and algorithms to improve the efficiency of software development processes. Through a combination of videos, hands-on exercises, demos, and projects, you will learn how to leverage generative AI models to automate various aspects of software development, including code generation, design and architectures, bug detection, and optimization.   This course will also help you understand the ethical considerations that you should follow to use AI to its full potential. Enroll today to get the most out of AI for developing software and boost your career! In this module, you will learn how AI impacts software development. Lesson 1 helps you understand how to leverage AI for the software development lifecycle using various tools and algorithms and set up a development environment for AI and ChatGPT. You will also learn about LLMs, transformers, and NLP and use them to create a chatbot. In lesson 2, you will explore the best practices and design patterns using AI for technical help and software architecture. You will learn how AI helps with code generation, bug detection, and troubleshooting and list the useful AI prompts for software development. This lesson will also teach you to leverage AI to generate static websites and architecture diagrams. 11 videos2 readings3 assignments4 app items9 plugins In this module, you will learn how to use AI for DevSecOps, software testing, and Generative AI considerations. Lesson 1 introduces you to the nuances of using AI for CI/CD and software security using AI tools. You will learn how to generate test cases for specific use cases using AI. You will also understand the integration of AI into software development workflows. In lesson 2, you will explore the ethical considerations for software development in AI and innovation with Generation AI. You will explore some of the useful prompts for software testing and DevOps. 6 videos3 readings3 assignments5 app items1 discussion prompt1 plugin In this module, you will complete a final project where you will have an opportunity to demonstrate your proficiency in building personalized learning for developers. Next, the final exam will test your knowledge of the course’s content including the essential concepts and their application. 3 readings1 assignment2 app items1 plugin

3 modules

Intermediate level

17 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/generative-ai-elevate-software-development-career

Building No-Code Apps with AppSheet Specialization

3,420

4.7

Google Cloud Training

Google Cloud

['AppSheet', 'Google Sheets', 'AppSheet Automation', 'No-code application development', 'AppSheet', 'Google Sheets', 'AppSheet Automation', 'No-code application development']

This specialization first introduces you to the fundamentals of no-code application development and the capabilities offered by Google Cloud's no-code application development platform AppSheet. Learn to organize and manage app data, secure and customize apps, and integrate with external services. The courses in this specialization also include topics on managing and upgrading your app, improving app performance and troubleshooting. Recognize the need to implement business process automation, and use AppSheet’s automation capabilities to send notifications, generate reports and parse documents. Applied Learning Project The courses that make up this specialization teach you how to develop no-code apps and implement various capabilities that include data organization and management, application security, actions and integrations in your app using AppSheet. Learners learn to version and upgrade an app, improve app scalability and performance, and troubleshoot common problems with the app. Recognize the need to implement business process automation in your organization. The course on AppSheet automation discusses automation patterns and use cases, and how to use AppSheet constructs to implement automation in your app. Learn about the various features of AppSheet automation, how to send notifications, generate reports, parse documents, and integrate your app with Google Workspace products. Learn about no-code app development and the use cases for building no-code apps. Learn to navigate the AppSheet UI and editor to build and test a no-code app. Learn the publishing process to deploy and publish an app for end users. Create and deploy a simple app. Organize and manage the data used by your app. Add actions, behaviors and automation to your app. Control access to your app and its data, and integrate your app with external services. Learn how to improve the performance of your app, manage app versions and upgrade your app. Collaborate and author your app with your team, and learn how to troubleshoot problems with your app. Define business process automation and recognize its use cases in an organization. Learn how AppSheet automation can automate business processes. Implement automation in your app with AppSheet automation constructs.

3 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/building-no-code-apps-with-appsheet

History of Medical Cannabis

15,624

4.8

Kent Hutchison

University of Colorado Boulder

['Pharmacology', 'CBD and THC', 'Legality of cannabis', 'Public Health', 'History of cannabis']

This History of Medical Cannabis course is designed to have you think critically about past, present, and future research on the health effects of cannabis by developing a more nuanced understanding of the barriers to research as well as different approaches to research. You will learn about the history of cannabis cultivation, the legal history of cannabis or "marijuana", and the obstacles that led to the lack of science on its medicinal use. You will also learn how to critically evaluate research on the effects of cannabis and discuss the associated risks of using cannabis in the context of public health and epidemiological research. Finally, you will learn about how to administer cannabis products in ways that minimize risk and maximize any potential benefits. Obtaining this knowledge will be helpful in terms of informing public policy, public health, and personal decisions regarding the use of cannabis products. In this module, we will discuss the biological characteristics of cannabis and the effect cannabinoids have on the body. Will will cover the basic pharmacology of THC and CBD and the action these cannabinoids have in the brain. Lastly, we will evaluate the evidence for what is called the entourage effect. 9 videos10 readings In this module, we will discuss the history of cannabis as an alternative medicine and the legal history of cannabis in both the US and abroad. We will discuss the variety of different product types post-legalization, how products are made, and implications for safety. We will also discuss the cannabis industry and how it compares to other mature industries like the pharmaceutical and alcohol industries. 7 videos11 readings1 assignment In this module, we will discuss the legal barriers to institutional research in the US and how this has impacted conducting much-needed cannabis research. You will learn the difference between high quality, rigorous research design compared to biased sources of information. Lastly, you will learn how the placebo effect works and evaluate how much of a role it plays with regards to the medical benefits of cannabis. 6 videos8 readings1 assignment1 peer review In this module, we will review the animal and human literature with regards to the effects of cannabis in the brain. We will discuss the epidemiology of cannabis use and review public health data. Lastly, we will discuss the best practices for using it medically, such as to minimize the risks and harms while maximizing the benefits. 8 videos11 readings1 assignment1 discussion prompt

4 modules

Beginner level

https://www.coursera.org/learn/history-medical-cannabis-cbd-thc

98%

Introduction to Machine Learning in Sports Analytics

4,101

4.7

Christopher Brooks

University of Michigan

['Data Analysis', 'Python Programming', 'sports analytics']

In this course students will explore supervised machine learning techniques using the python scikit learn (sklearn) toolkit and real-world athletic data to understand both machine learning algorithms and how to predict athletic outcomes. Building on the previous courses in the specialization, students will apply methods such as support vector machines (SVM), decision trees, random forest, linear and logistic regression, and ensembles of learners to examine data from professional sports leagues such as the NHL and MLB as well as wearable devices such as the Apple Watch and inertial measurement units (IMUs). By the end of the course students will have a broad understanding of how classification and regression techniques can be used to enable sports analytics across athletic activities and events. This week will introduce the concept of machine learning and describe the four major areas of places it can be used in sports analytics. The machine learning pipeline will be discussed, as well as some common issues one runs into when using machine learning for sports analytics. 7 videos3 readings1 assignment1 ungraded lab In this week students will learn how Support Vector Machines (SVM) work, and will experience these models when looking at both baseball and wearable data. Coming out of the week students will have experience building SVMs with real data and will be able to apply them to problems of their own. 4 videos2 readings1 assignment This week will focus on interpretable methods for machine learning with a particular focus on decision trees. Students will learn how these models work in general, and see special uses of decision trees in combination with regression methods. In this week students will come to better understand how the python sklearn toolkit can be used for a breadth of supervised learning tasks. 4 videos2 readings1 assignment In this week of the course students will learn how many different models can be used together through ensembles, including the random forest method as a common use, as well as more general methods available in sklearn such as stacking and bagging. By the end of this week students will have a broad understanding of how methods such as SVMs, decision trees, and logistic regression can be used together to solve a problem with increasing performance. 5 videos3 readings1 assignment

4 modules

Intermediate level

12 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/machine-learning-sports-analytics

Problem Solving, Python Programming, and Video Games

74,073

4.3

Duane Szafron

University of Alberta

['Python Syntax And Semantics', 'Computer Science', 'Python Programming', 'Problem Solving', 'Video Games']

This course is an introduction to computer science and programming in Python. Upon successful completion of this course, you will be able to: 1. Take a new computational problem and solve it, using several problem solving techniques including abstraction and problem decomposition. 2. Follow a design creation process that includes: descriptions, test plans, and algorithms. 3. Code, test, and debug a program in Python, based on your design. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. This course uses problem-based learning. The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner. The instructional videos present Python using a conceptual framework that can be used to understand any programming language. This framework is based on several general programming language concepts that you will learn during the course including: lexics, syntax, and semantics. Other approaches to programming may be quicker, but are more focused on a single programming language, or on a few of the simplest aspects of programming languages. The approach used in this course may take more time, but you will gain a deeper understanding of programming languages. After completing the course, in addition to learning Python programming, you will be able to apply the knowledge and skills you acquired to: non-game problems, other programming languages, and other computer science courses. You do not need any previous programming, Python, or video game experience. However, several basic skills are needed: computer use (e.g., mouse, keyboard, document editing), elementary mathematics, attention to detail (as with many technical subjects), and a “just give it a try” spirit will be keys to your success. Despite the use of video games for the main programming project, PVG is not about computer games. For each new programming concept, PVG uses non-game examples to provide a basic understanding of computational principles, before applying these programming concepts to video games. The interactive learning objects (ILO) of the course provide automatic, context-specific guidance and feedback, like a virtual teaching assistant, as you develop problem descriptions, functional test plans, and algorithms. The course forums are supported by knowledgeable University of Alberta personnel, to help you succeed. All videos, assessments, and ILOs are available free of charge. There is an optional Coursera certificate available for a fee. In Module 0, you will meet the instructional team and be introduced to the four themes of this course: computer science, problem solving, Python programming, and how to create video games. 6 videos2 readings1 assignment In Module 1, you will explore the game creation process that is used in this course. You will use this process to design Version 1 of the first game, Hacking. You will use two problem-solving techniques: problem decomposition and algorithms. You will explore five criteria for problem decomposition: experiential decomposition, feature selection, problem refinement, spatial decomposition, and temporal decomposition. To create your design for Hacking Version 1, you will use three interactive learning objects: the description builder, functional test plan builder, and algorithm builder. 7 videos9 readings6 assignments In Module 2, you will discover how lexics, syntax, and semantics can be used to understand and describe programming languages. You will use these concepts to understand your first Python statement (expression statement), first three Python expressions (literal, identifier, function call), and first five Python types (int, str, float, function, NoneType). You will use these Python constructs to write, test, and debug Hacking Version 1, a text-based game version. You will then reflect on your game version by using a third problem-solving technique called abstraction, including the specific technique of solution generalization, to solve similar problems. 12 videos7 readings11 assignments In Module 3, you will identify solution issues in your game. You will apply a second form of the abstraction problem-solving technique, called using templates, to solve a solution issue by using a graphics library. You will then use lexics, syntax, and semantics to learn two new Python statements (assignment, import), two new Python expressions (binary expression, attribute reference), and one new Python type (module). You will employ these Python constructs and a simple graphics library to write, test, and debug Hacking Version 2. 12 videos21 readings30 assignments In Module 4, you will modify your game design to support multiple gameplay paths using a new problem decomposition criteria called case-based decomposition, which utilizes a selection control structure. You will learn one new Python statement (if), one new Python expression (unary expression), and one new Python type (bool). You will employ these Python constructs to write, test, and debug Hacking Version 3. 8 videos16 readings19 assignments In Module 5, you will modify your game design using two new abstraction techniques, called control abstraction and data abstraction. You will explore two different control abstractions, called definite and indefinite repetition. You will learn two new Python statements (for, while), four new Python expressions (subscription expression, expression list, parenthesized expression, list display), and three new Python types (tuple, list, range). You will employ these Python constructs to write, test, and debug Hacking Version 4 and Hacking Version 5. 17 videos22 readings29 assignments In Module 6, you will learn a new control abstraction called a user-defined function. You will learn how to implement user-defined functions using two new Python statements (function definition, return). You will employ these Python constructs to significantly improve the quality of your code in Hacking Version 6. 8 videos8 readings19 assignments In Module 7, you will not learn any new problem-solving techniques or Python language features. Instead you will exercise your problem-solving skills and practice the language constructs you already know to improve your proficiency. You will add some fun features to the Hacking game by designing, coding, testing, and debugging Hacking Version 7. 5 videos8 readings2 assignments In Module 8, you will design and implement Version 1 of a new graphical game called Poke the Dots. You will then modify your game design using data abstraction to create user-defined classes. You will learn two new Python statements (class definition, pass) that will allow you to construct your own Python types. You will employ these Python constructs to implement Poke the Dots Version 2. 12 videos21 readings17 assignments In Module 9, you will not learn any new problem-solving techniques or Python language features. Instead you will exercise your problem-solving skills and practice the language constructs you already know to improve your proficiency. You will add some fun features to the Poke the Dots game by designing, coding, testing, and debugging Poke the Dots Version 3. 5 videos8 readings5 assignments In Module 10, you will modify your game design using a new form of control abstraction called user-defined methods. User-defined methods allow you to restrict access to the attributes of a class to improve data abstraction. You will employ user-defined methods to implement Poke the Dots Version 4. 6 videos5 readings5 assignments In Module 11, you will not learn any new problem-solving techniques or Python language features. Instead you will exercise your problem-solving skills and practice the language constructs you already know to improve your proficiency. You will add some fun features to the Poke the Dots game by designing, coding, testing, and debugging Poke the Dots Version 5. 5 videos8 readings2 assignments

12 modules

Beginner level

https://www.coursera.org/learn/problem-solving-programming-video-games

89%

Understanding Plants - Part II: Fundamentals of Plant Biology

48,270

4.8

Professor Daniel Chamovitz, Ph.D.

Tel Aviv University

['Plant Biology', 'Biology', 'Genetics', 'Plant']

This class is aimed at people interested in understanding the basic science of plant biology. In this four lecture series, we'll first learn about the structure-function of plants and of plant cells. Then we'll try to understand how plants grow and develop, making such complex structures as flowers. Once we know how plants grow and develop, we'll then delve into understanding photosynthesis - how plants take carbon dioxide from the air and water from soil, and turn this into oxygen for us to breathe and sugars for us to eat. In the last lecture we'll learn about the fascinating, important and controversial science behind genetic engineering in agriculture. If you haven't taken it already, you may also be interested in my other course - What A Plant Knows, which examines how plants see, smell, hear and feel their environment: https://www.coursera.org/learn/plantknows. In order to receive academic credit for this course you must successfully pass the academic exam on campus. For information on how to register for the academic exam – https://tauonline.tau.ac.il/registration Additionally, you can apply to certain degrees using the grades you received on the courses. Read more on this here – https://go.tau.ac.il/b.a/mooc-acceptance Teachers interested in teaching this course in their class rooms are invited to explore our Academic High school program here – https://tauonline.tau.ac.il/online-highschool 10 videos3 readings1 assignment2 plugins 6 videos1 reading1 assignment 8 videos1 reading1 assignment 9 videos1 reading1 assignment1 plugin

4 modules

Intermediate level

https://www.coursera.org/learn/plant-biology

97%

Combining Scrum with Other Agile Methodologies

21,075

4.7

Jim Sullivan

LearnQuest

[]

This course is designed to help Scrum beginners become more proficient with Agile Scrum. This course explores layering other Agile methodologies on top of Scrum. This is the fourth course in the Certified Scrum Master specialization. We recommend completing the first three courses before beginning this one. In this module, we are going to discuss Test-driven Development (TDD) and Continuous Integration with XP. We'll also take a look at Pair Programming and Behavior Driven development. 7 videos4 readings2 assignments2 discussion prompts In this module, we'll discuss combining Lean practices and Scrum, implementing Kanban, and cross-functional teams. 2 videos4 readings1 assignment1 discussion prompt In this module, we are going to delve into DevOps. We'll explore the DevOps Mindset, DevSecOps, virtualization, and Continuous Deployment. 3 videos5 readings1 assignment1 discussion prompt

3 modules

Beginner level

https://www.coursera.org/learn/combining-scrum-with-other-methodologies

95%

DevOps, Cloud, and Agile Foundations Specialization

15,669

4.8

Rav Ahuja

IBM

['Cloud Computing', 'agile', 'Devops', 'Scrum', 'Cloud Native', 'Cloud Computing', 'agile', 'Devops', 'Scrum', 'Cloud Native']

DevOps is more than just a fusion of development and operations. It is the cultural change that organizations everywhere are adopting to become more agile and innovate at scale. It makes it easier to deliver software and services at the speed the market demands. This specialization will equip you with a foundational understanding of DevOps, Cloud Computing, Agile, and Scrum and their transformational impact on businesses and approaches to software engineering You will learn about the DevOps culture and its benefits, Cloud Computing fundamentals, the Agile philosophy, and Scrum methodology. You will familiarize yourself with the skills, technology, tools, processes, practices, and metrics to become a successful DevOps practitioner. This specialization is suitable for both technical audiences - who want to either upskill with DevOps or start a career in this in-demand domain to become DevOps Engineers, Software Engineers, Application Developers, SREs, Cloud Specialists, etc., as well less technical audiences - including managers, executives, product managers, and project managers. Applied Learning Project The projects in these courses do not involve any coding and are designed for you to apply and demonstrate your grounding in DevOps and its principles. You will: examine a business case study and make your recommendations for transforming the organization to adopt DevOps; create a cloud account and provision a service on cloud; and develop an Agile plan with ZenHub by writing user stories, and simulating a Scrum sprint. The essential characteristics of DevOps including building a culture of shared responsibility, transparency, and embracing failure. The importance of Continuous Integration and Continuous Delivery, Infrastructure as Code, Test Driven Development, Behavior Driven Development. Essential DevOps concepts: software engineering practices, cloud native microservices, automated continuous deployments, and building resilient code. The organizational impact of DevOps, including breaking down silos, working in cross functional teams, and sharing responsibilities. Define cloud computing and explain essential characteristics, history, the business case for cloud, and the emerging technologies enabled by cloud Describe the cloud service models- IaaS, PaaS, SaaS, and cloud deployment models- Public, Private, Hybrid; explain cloud infrastructure components Explain emerging Cloud related trends including HybridMulticloud, Microservices, Serverless, Cloud Native, DevOps, and Application Modernization List and describe services of popular cloud platforms including AWS, Microsoft Azure, Google Cloud, IBM Cloud, Alibaba Cloud, and others Adopt the 5 practices of Agile, a subset of DevOps: small batches, minimum viable product, pair programming, behavior- and test-driven development. Write good user stories, estimate and assign story points and track stories using a kanban board. Incorporate Scrum artifacts, events, and benefits. Create and refine a product backlog using the sprint planning process. Produce potentially shippable product increments with every iteration. Create burndown charts to forecast the ability to meet a sprint goal. Use metrics to enhance performance, productivity, and client satisfaction.

3 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/devops-cloud-and-agile-foundations

Fostering Engagement in the Age of Digital Distraction

Enrollment number not found

Rating not found

Intel SFI Instructor

Intel

['Formative And Summative Assessments', 'classroom management', 'Gamification', 'Classroom Management', 'Collaborative Learning']

Educators taking this course will explore the effect of peer and colleague collaboration in the Fourth Industrial revolution and understand learners' motivation and how innovative pedagogical approaches increase learner engagement. It also helps educators understand how technology presents an opportunity to increase learner motivation through interactive participation optioned presented to them. At the end of this course, educators will be able to: Build a culture for collaboration enabled by technology. Design collaborative group tasks to encourage innovation. Harness technology for multi-modal content delivery in blended learning. Apply gamification in the classroom to improve learner abilities. Consider engagement and motivation in assessment design. Explore the use of digital tools in formative assessment. Collaborating with peers, colleagues, and learners is vital to prepare for the Fourth Industrial Revolution. Working meaningfully in teams is a core skill of educators in their development and for learning to take place effectively. This module examines how educators can create spaces and processes, both offline and online, to promote collaboration and classroom discussions. It also describes classroom practices that encourage collaborative skills, especially in designing and creating innovative solutions. 1 video1 reading1 peer review1 plugin This module examines the factors that motivate learners. Educators will explore innovative pedagogical approaches that increase learner engagement and transform the classroom into an active learning space. This module provides educators with skills to use technology to build intrinsic motivation through gamification. 1 video1 reading1 peer review1 plugin As learning in the contemporary classroom becomes more complex and student work becomes less machine scorable, how should assessment catch up? This module looks at a range of creative high-engagement assessment formats that can motivate and engage learners by considering relevance, autonomy, collaboration, and authenticity. 1 video1 reading1 peer review1 plugin

3 modules

Beginner level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/fostering-engagement-in-the-age-of-digital-distraction

Advanced Methods in Machine Learning Applications

Enrollment number not found

Rating not found

Erhan Guven

Johns Hopkins University

['Ensemble Learning', 'Unsupervised Learning', 'Reinforcement Learning', 'Apriori Analysis', 'Advanced Regression Techniques']

The course "Advanced Methods in Machine Learning Applications" delves into sophisticated machine learning techniques, offering learners an in-depth understanding of ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. The course emphasizes practical application, teaching students how to apply advanced techniques to solve complex problems and optimize model performance. Learners will explore methods like bagging, boosting, and stacking, as well as advanced regression approaches and clustering algorithms. What sets this course apart is its focus on real-world challenges, providing hands-on experience with advanced machine learning tools and techniques. From exploring reinforcement learning for decision-making to applying apriori analysis for association rule mining, this course equips learners with the skills to handle increasingly complex datasets and tasks. By the end of the course, learners will be able to implement, optimize, and evaluate sophisticated machine learning models, making them well-prepared to address advanced challenges in both research and industry. This course provides a comprehensive exploration of advanced machine-learning techniques, including ensemble methods, regression analysis, and unsupervised learning algorithms. Students will gain hands-on experience with reinforcement learning and decision tree models while applying association rule mining on real datasets. Emphasis is placed on evaluating model performance and comparing various learning approaches. By the end, participants will be equipped with practical skills to tackle complex data-driven challenges. 2 readings You can enhance supervised learning by using multiple weak classifiers that work on subsets of features with limited learning capability. By leveraging their sheer numbers and majority voting, ensemble classifiers consistently outperform and offer greater robustness than complex individual classifiers. Random Forest, considered one of the premier ensemble classifiers, relies on weak decision tree classifiers. Therefore, decision tree classifiers and their visualizations will be introduced in this module. Furthermore, you will see how employing numerous weak classifiers with reduced feature sets from the dataset can achieve combined voting performance that surpasses that of individual classifiers. 4 videos2 readings3 assignments1 ungraded lab Certain problems you encounter will demand precise numerical predictions, such as forecasting the seasonal flu arrival rate or predicting next week's stock market index. For such scenarios, regression techniques prove invaluable. Throughout this module, you'll explore various types of regression, solve linear regression equations analytically, define cost functions, and understand situations where linear regression may falter. Additionally, you'll delve into coding quadratic and logistic regressions from scratch, utilizing polynomial features and sci-fi optimizers. Logistic regression, a widely used classification method, fits data to a logistic curve based on dataset features. You'll apply logistic regression to develop a predictive model for cancer recurrence using patient diagnostic data. 4 videos3 readings3 assignments1 ungraded lab In this module, you will explore unsupervised learning, which serves as the counterpart to supervised learning. Unsupervised learning aims to construct the underlying probability distribution of a dataset based on its features as random variables, enabling it to identify outliers and centroids of densities. You'll begin by understanding distance and similarity metrics crucial for clustering algorithms. Popular algorithms like k-means, DBSCAN, hierarchical clustering, and EM will be introduced briefly. You'll also learn about metrics that evaluate cluster quality, alongside 3D visualizations and dendrograms. Using an artificial dataset similar to the one used in supervised learning, you will apply clustering techniques. Additionally, you'll witness clustering in action on the famous iris dataset, employing various algorithms. Throughout, you'll discover how the Elbow method aids in determining the optimal number of clusters. 4 videos2 readings3 assignments1 ungraded lab In this module, you will explore reinforcement learning, completing the trio of major learning strategies alongside supervised and unsupervised methods. Similar to how humans learn to navigate their environments, reinforcement learning operates in scenarios where ground truth is absent or impractical, relying instead on interactions with the environment. You'll discover how guidelines are learned through rewards and penalties to maximize benefits or minimize costs. Reinforcement learning is widely applied in teaching computers to play complex board games like Backgammon or chess—AlphaGo's triumph over the Go world champion exemplifies its capabilities in AI advancement. You'll delve into the reinforcement model, terminology, and typical problems such as tic-tac-toe and elevator control. Techniques for developing a mathematical model like Q-learning, based on states and actions, will be explored, culminating in hands-on implementation to master a chosen game. 6 videos3 readings3 assignments1 programming assignment

5 modules

Intermediate level

19 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/advanced-methods-in-machine-learning-applications

The Intel® AI Value

Enrollment number not found

Rating not found

Intel

Intel

['AI Hardware', 'Customer Experience', 'AI Pipeline', 'B2B Sales', 'AI Software']

Learn how Intel helps accelerates our customers' AI journey Learn how Intel helps accelerates our customers' AI journey 4 videos5 assignments

1 module

Beginner level

3 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/the-intel-ai-value

Interactive Computer Graphics

101,481

4.0

Takeo Igarashi

The University of Tokyo

['3d computer graphics', 'Algorithms', 'Robotics', 'Computer Graphics (CG)']

Computer graphics can be a powerful tool for supporting visual problem solving, and interactivity plays a central role in harnessing the users' creativity. This course will introduce various interactive tools developed in computer graphics research field with their design rationales and algorithms. Examples include enhancements to graphical user interfaces, authoring tools for 2D drawings and 3D animations, and interactive computer-aided design systems. Rich live demonstrations and course assignments will give you insights and skills to design and implement such tools for your own problems. Graphical user interfaces turn computer control problem into visual problem solving. The lectures of this module introduce five attempts to enhance current GUI operations such as scrolling interfaces, management of desktop icons, pointing on a large display, digital inking, and vocal interaction. 7 videos4 readings6 assignments In this module we will dive deep into the world of 2D. We will discuss techniques for authoring 2D drawings and animations. Specifically, we will introduce interactive diagram beautification, pen-and-ink texture synthesis, shape manipulation, and dynamic illustrations. We hope you will witness how interactive software can change burdensome drawing work into full of fun! 4 videos5 assignments In this module, we rise up from 2D plane to 3D space, and discuss 3D geometric modeling methods. Topics introduced are; suggestive interface for architectural models, a sketch-based modeling system for freeform shapes, a curve-based shape control method, a flower modeling system, and volumetric texture. You will see how 3D objects can be easily and quickly modeled by specially-designed 2D user interfaces! 5 videos6 assignments Starting from this module, we are shifting our attention towards simulating/crafting real objects and movements, which usually require intricate systems to deal with. As for this module, we will introduce clothing manipulation techniques, layer operations for stacked deformable objects, spatial key framing for character animations, procedural deformation, and human motion visualization using stick figures. You will discover how deformation and animation techniques help visually reproduce complex objects and motions. 5 videos6 assignments In this module, we will discuss systems for supporting personal fabrication. In particular, we will introduce systems for designing plush toys, beadworks, chairs, and softly folded objects. In addition, interactive packing method is presented. 5 videos6 assignments Nowadays, computers are indispensable for designing products; computers mediate the interaction between designers and products. But in most cases, designing and testing processes are separated, so that designers will not foresee the consequences of their design in real time. In this module, we will discuss computer-aided design supported by simultaneous physical simulation. The works introduced are: systems for designing cantilever, musical instruments, garments, furniture, and gliders. You will see how real-time feedback helps designers improve the output products! 5 videos6 assignments Computer-operated appliances, such as robotic cleaners, are gradually spreading to general households in recent years. These emerging technologies have opened the door to the new research area, i.e. research on the interactions between ordinary people and robots. In this module, we will discuss interactive techniques and systems for real world interaction. Topics include: a command card interface for robot control, style-by-demonstration for robot behavior design, an actuated puppet device for character posing, a painting interface for robotic lights, and a fur display. 6 videos2 readings6 assignments

7 modules

Intermediate level

https://www.coursera.org/learn/interactive-computer-graphics

94%

Strategising: Management for Global Competitive Advantage Specialization

11,209

4.8

Dr Mehrdokht Pournader

Macquarie University

['Corporate strategy', 'Corporate Social Responsibility', 'Supply Chain', 'Business model innovation', 'Corporate strategy', 'Corporate Social Responsibility', 'Supply Chain', 'Business model innovation']

Leaders must have the ability to develop and deploy effective strategies. This specialisation will prepare you to be the strategic change-maker capable of enabling your organisation to compete into the future. You will learn: how to think strategically to make your organisation more competitive (Be Competitive); how crucial it now is for supply chains to effectively meet customer demands (Be Global); how to leverage technology and innovation to disrupt and reshape your organisation (Be Disruptive); and how to make a positive contribution to the world while effectively maintaining the bottom line (Be Sustainable). Identify the key drivers of global supply chain effectiveness Create supply chain networks that are aligned with supply chain and business strategy of the firm Identify the critical success factors, pitfalls, and risks of global supply chain management Evaluate the sustainability of global supply chain operations Demonstrate an understanding of a range of disruptive technologies and their implications on organisations, industry sectors and societies Develop strategies and approaches to manage disruptive technologies by creating new business models Apply strategic thinking and tools to evaluate relative advantage Assess business decisions using metrics including financial maximization, shareholder value, customer well-being, and societal impact Apply the principles and tools of complex systems thinking to sustainable business challenges and/or opportunities Identify and evaluate strategies, processes and leadership techniques that enable successful sustainability transitions in a business context Identifying the forces that shape competition for economic exchanges Analysing the sources of value in company offerings and how do segment markets in order to create value Developing strategic options that are suitable, feasible, and acceptable

4 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/specializations/strategic-management-competitive-advantage

JavaScript, jQuery, and JSON

100,986

4.6

Charles Russell Severance

University of Michigan

['Hypertext Preprocessor (PHP)', 'Jquery', 'JavaScript']

In this course, we'll look at the JavaScript language, and how it supports the Object-Oriented pattern, with a focus on the unique aspect of how JavaScript approaches OO. We'll explore a brief introduction to the jQuery library, which is widely used to do in-browser manipulation of the Document Object Model (DOM) and event handling. You'll also learn more about JavaScript Object Notation (JSON), which is commonly used as a syntax to exchange data between code running on the server (i.e. in PHP) and code running in the browser (JavaScript/jQuery). It is assumed that learners have already taken the Building Web Applications and Building Database Applications in PHP courses in this specialization. We take a quick look at the JavaScript language. We assume that you already know PHP - so it is a pretty quick introduction focusing on what is different about JavaScript. 17 videos8 readings1 assignment2 app items1 discussion prompt We do a quick look at how the JavaScript language supports the Object-Oriented pattern. This is the second time we look at the OO pattern so we focus on the unique aspect of how JavaScript approaches OO. 4 videos1 assignment This is a brief introduction to the JQuery library which is widely used to do in-browser manipulation of the Document Object Model(DOM) and event handling. 7 videos1 reading2 app items In this section we look at JavaScript Object Notation (JSON). JSON is commonly used as a syntax to exchange data between code running on the server (i.e. in PHP) and code running in the browser (JavaScript/JQuery). 9 videos3 readings1 assignment2 app items

4 modules

Intermediate level

https://www.coursera.org/learn/javascript-jquery-json

96%

Health After Cancer: Cancer Survivorship for Primary Care

3,583

4.8

Lidia Schapira

Stanford University

['Primary care for patients who are cancer survivors']

This course presents basic principles of cancer survivorship to primary-care physicians. Developed by a team of experts in caring for cancer survivors, and narrated by a primary-care physician, this course provides practical tips and tools that can be easily integrated into medical practice. You will learn about the complex physical and psychosocial needs and concerns of the growing number of cancer survivors, along with the key role that primary care physicians have in guiding these patients back to health, after cancer. Materials include story-based videos where you will meet four patients with diverse needs in their care after recovery for cancer; printable reference guides for clinical care, communication, and resources; as well as additional optional cases for extended learning. This self-paced course takes approximately 90 minutes to complete. If you are interested in taking this course for CME credit, please visit the course site at Stanford Center for Continuing Medical Education located here: https://stanford.cloud-cme.com/course/courseoverview?P=0&EID=35509 8 videos11 readings4 assignments

1 module

Intermediate level

2 hours to complete

https://www.coursera.org/learn/health-after-cancer-cancer-survivorship-for-primary-care

Hacking COVID-19 — Course 5: Tracing SARS-CoV-2's Evolution

Enrollment number not found

Rating not found

Mikhail Rayko

University of California San Diego

[]

In this course, you will follow in the footsteps of the bioinformaticians investigating the COVID-19 outbreak by tracing the evolution of SARS-CoV-2. Whether you’re new to the world of computational biology, or you’re a bioinformatics expert seeking to learn about its applications in the COVID-19 pandemic, or somewhere in between, this course is for you! As you go through this journey, we will introduce and explain genomic concepts and give you many opportunities to practice your skills, and we will provide a series of problems with gradually increasing complexity. This fifth course will discuss the "Italy First" hypothesis of COVID-19 origins, and it will cover bioinformatics methods for rooting and dating a phylogenetic tree inferred from SARS-CoV-2 genome sequences. In Chapter 7, we will discuss how we can use rooted and dated phylogenetic trees to study the emergence of a virus, with the origins of COVID-19 as our primary inspiration, but with a real case study about HIV transmission as our focus. 1 reading1 app item In Chapter 8, we will perform multiple sequence alignment, phylogenetic inference, tree rooting, and tree dating to investigate the "Italy First" hypothesis of COVID-19 origins. 1 app item

2 modules

Beginner level

4 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/hacking-covid-19--course-5-tracing-sars-cov-2s-evolution

Introduction to Containers w/ Docker, Kubernetes & OpenShift

109,443

4.4

Alex Parker

IBM

['Openshift', 'Docker', 'Kubernetes', 'Containers', 'Cloud Native']

Take the next step in your software engineering career by getting skilled in container tools and technologies! The average salary for jobs that require container skills is $137,000 in the US according to salary.com, making Devops professionals and developers with these skills highly in demand. More than 70 percent of Fortune 100 companies are running containerized applications. But why? Using containerization, organizations can move applications quickly and seamlessly among desktop, on-premises, and cloud platforms. In this beginner course on containers, learn how to build cloud native applications using current containerization tools and technologies such as Docker, container registries, Kubernetes, Red Hat, OpenShift, and Istio. Also learn how to deploy and scale your applications in any public, private, or hybrid cloud. By taking this course you will familiarize yourself with: - Docker objects, Dockerfile commands, container image naming, Docker networking, storage, and plugins - Kubernetes command line interface (CLI), or “kubectl” to manipulate objects, manage workloads in a Kubernetes cluster, and apply basic kubectl commands - ReplicaSets, autoscaling, rolling updates, ConfigMaps, Secrets, and service bindings - The similarities and differences between OpenShift and Kubernetes Each week, you will apply what you learn in hands-on, browser-based labs. By the end of the course, you’ll be able to build a container image, then deploy and scale your container. The skills taught in this course are essential to anyone in the fields of software development, back-end & full-stack development, cloud architects, cloud system engineers, devops practitioners, site reliability engineers (SRE), cloud networking specialists and many other roles. Start your first week by learning about container concepts, features, use cases, and benefits. Building on your new knowledge of containers, you’ll learn what Docker does and discover why Docker is a winner with developers. You’ll learn what Docker is, become acquainted with Docker processes, and explore Docker’s underlying technology. Learn about how developers and organizations can benefit from using Docker and see which situations are challenging for using Docker. Next, learn how to build a container image using a Dockerfile, how to create a running container using that image, become familiar with the Docker command line interface (CLI), and explore frequently used Docker commands. You’ll become knowledgeable about Docker objects, Dockerfile commands, container image naming, and learn how Docker uses networks, storage, and plugins. Then, assimilate this knowledge when you see Docker architecture components in action and explore containerization using Docker. At the end of this first week, you’ll pull an image from a Docker Hub registry. You’ll run an image as a container using Docker, build and tag an image using a Dockerfile, and push that image to a registry. 6 videos2 readings2 assignments2 app items4 plugins In week two, learn what container orchestration is. Then, explore how developers can use container orchestration to create and manage complex container environment development lifecycles. Kubernetes is currently the most popular container orchestration platform. You’ll examine key Kubernetes architectural components, including control plane components and controllers. Explore Kubernetes objects, and learn how specific Kubernetes objects such as Pods, ReplicaSets, and Deployments work. Then, learn how developers use the Kubernetes command line interface (CLI), or “kubectl” to manipulate objects, manage workloads in a Kubernetes cluster, and apply basic kubectl commands. You’ll be able to differentiate the benefits and drawbacks of using imperative and declarative commands. At the end of this module, you will use the kubectl CLI commands to create resources on an actual Kubernetes cluster. At the end of this week, you’ll use the Kubernetes CLI to create a Kubernetes pod, create a Kubernetes deployment, create a ReplicaSet and see Kubernetes load balancing in action. 6 videos1 reading2 assignments2 app items4 plugins In week three, you’ll explore ReplicaSets, autoscaling, rolling updates, ConfigMaps, Secrets, and service bindings, and learn how you can use these capabilities to manage Kubernetes applications. You’ll learn how ReplicaSets scale applications to meet increasing demand, and how autoscaling creates dynamic demand-based scaling. You’ll see how to use rolling updates to publish application updates and roll back changes without interrupting the user experience. You’ll learn how to use ConfigMaps and Secrets to provide configuration variables and sensitive information to your deployments and to keep your code clean. At the end of the week, you’ll scale and update applications deployed in Kubernetes. 5 videos2 readings2 assignments2 app items3 plugins In week four, you’ll learn more about the growing Kubernetes ecosystem and explore additional tools that work well with Kubernetes to support cloud-native development. You’ll gain an understanding of the similarities and differences between Red Hat ® OpenShift® and Kubernetes and see what OpenShift architecture looks like. You’ll learn about OpenShift builds and BuildConfigs, and OpenShift build strategies and triggers. You'll also discover how operators can deploy whole applications with ease. Finally, you’ll examine how the Istio service mesh manages and secures traffic and communication between an application’s services. At the end of the week, you’ll use the oc CLI to perform commands on an OpenShift cluster. And you’ll use the OpenShift build capabilities to deploy an application from source code stored in a Git repository. 4 videos1 reading2 assignments1 app item3 plugins For the Final Project, you will put into practice the tools and concepts learned in this course, and deploy a simple guestbook application with Docker and Kubernetes. The entire application will be deployed and managed on OpenShift. 3 readings1 peer review3 app items3 plugins

5 modules

Intermediate level

https://www.coursera.org/learn/ibm-containers-docker-kubernetes-openshift

91%

Take Action: From Protest to Policy

3,224

Rating not found

Sarah Ryan

Wesleyan University

['Justice', 'Social Media', 'American Law', 'Stakeholder Analysis', 'Environmental Protection']

In Take Action, you will learn four strategies for transforming your activist work into policy change. First, we'll explore how to use the courts to mobilize constituents, raise awareness, gain information, and change the law. Second, we'll analyze the benefits of communicating your message across platforms and review a case study in cross-platform communication of a criminal justice reform message in the U.S. Third, we'll examine how to connect to power through stakeholder analysis and issue framing. Fourth, we'll appraise the benefits of working locally to generate wins, gain knowledge, and create meaningful change. By the end of this course, you will be able to formulate a comprehensive plan for real world change. This course will engage you if you care about specific issues such as climate change, racial justice, or mass incarceration, or if you want a broader understanding of how the U.S. courts and justice system operate, how communications professionals think about social media strategy, how change-makers network with policymakers, or how local actors and positive deviants possess answers to complex social problems. LEARNING OUTCOMES -Recognize and explain policymaking terms -Describe important policymaking places, people, and procedures -Analyze law and policy documents and texts -Evaluate the efficiency and effectiveness of policymaking actors and institutions -Appraise the effectiveness of policy-oriented communications -Identify policy stakeholders -Communicate your policy-related ideas clearly -Develop a plan of action to influence policy INSTRUCTORS Mary Alice Haddad, John E. Andrus Professor of Government; Professor, East Asian Studies; Professor, College of the Environment Sarah Ryan, Attorney, Director of the Law Librarianship Program at the University of North Texas, and Associate Professor of Information Science This section will offer an overview the course and some of the key concepts that we use to talk about policymaking. It will also introduce the Connected Stakeholder Model as a way to understand how advocates can influence policymakers. 4 videos2 readings In this module we'll learn why the courts matter and how to use them, and then we'll look at the specific case of how courts get used to change policy related to the environment. 5 videos8 readings2 assignments1 peer review This module talks about the importance of reaching diverse audiences with your message and using different communication platforms to reach different audiences. 4 videos7 readings2 peer reviews This module helps teach how to identify important stakeholders, how to frame our issue in ways that they will understand and support, and how to spread our policy issues to diverse audiences. 4 videos7 readings2 peer reviews Our final module will take what we've learned so far and apply it in our local context. We'll think about "working locally" in two different ways: (1) addressing the local issue that we care about and then scaling our policy solution to the regional, national, and even global levels, and 2) finding a local way to influence the "big" issue that we care about. 4 videos6 readings2 peer reviews In this final module, you'll tie everything together, making a plan to turn the issue that YOU care about from protest into policy. 2 videos1 peer review

6 modules

Beginner level

33 hours to complete (3 weeks at 11 hours a week)

https://www.coursera.org/learn/take-action-from-protest-to-policy

Data Science Companion

Enrollment number not found

Rating not found

MathWorks Instructors

MathWorks

['Data Analysis', 'Cloud Computing', 'MATLAB and Python']

The Data Science Companion provides an introduction to data science. You will gain a quick background in data science and core machine learning concepts, such as regression and classification. You’ll be introduced to the practical knowledge of data processing and visualization using low-code solutions, as well as an overview of the ways to integrate multiple tools effectively to solve data science problems. You will then leverage cloud resources from Amazon Web Services to scale data processing and accelerate machine learning model training. By the end of this short course, you will have a high-level understanding of important data science concepts that you can use as a foundation for future learning. Explore or refresh your knowledge of the core purpose of data science and the two main categories of machine learning models, regression and classification. 5 videos Perform core tasks in data processing and visualization, experimenting with different options with the help of interactive, graphical tools, before committing to a solution in code. 3 videos Leverage the benefits of combining multiple tools to solve a data science problem. 2 videos Scale the processing of large data sets and speed up the training time of machine learning models in MATLAB by using cloud resources available from Amazon Web Services. 3 videos1 assignment

4 modules

Beginner level

1 hour to complete

https://www.coursera.org/learn/data-science-companion-matlab