Online courses directory (1728)

Explore the complexity and challenges of infrastructure systems (Transport, Energy, IT/Telecom and Water) in the 21st century.

Discover what makes your brain tick in this first module of a three-part introductory series in neuroscience.

China’s past, present, and future: through history, geography, philosophies, literature, politics, economy, art, and ecology.

Top chefs and Harvard researchers explore how everyday cooking and haute cuisine can illuminate basic principles in physics and engineering, and vice versa.

PHYS 102x serves as an introduction to electromagnetism, including charge, electric and magnetic forces, induction, current, and resistance.

Who are the winners and losers of globalization? What should be done to improve outcomes for all?

In this course, students analyze some of the hardest national security challenges the United States will face in the decade ahead.

Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing."

This course is taught in Mandarin. A basic EE course for the general MOOCer about circuits and multiple-disciplinary case studies. (Taught in Mandarin.)

Covers the basics of Newtonian mechanics, fluid mechanics, kinetic gas theory and thermodynamics in addition to exploring other real-world phenomena.

CS169.2x teaches sophisticated SaaS+Agile skills, such as working with legacy code, building on basics from CS169.1x.

PH207x is the online adaptation of material from the Harvard School of Public Health's classes in epidemiology and biostatistics.

You need to be smart to begin a PhD - but you need to be resilient to finish one. Between one-quarter and one-third of all research students never finish their degree. The PhD is an emotional journey as much as it is an intellectual one.

What kinds of emotions does the research degree process provoke? What strategies can help students deal with the emotional highs and lows? How can academic advisors, family and friends help research students cope with these stresses - and celebrate the successes?

This course is primarily designed for masters, PhD, and research students and the academics who are tasked with helping them, but you may also be a family member or friend of a PhD student who is seeking to better understand what your loved one is going through.

By directly addressing the emotional issues, and by helping us see the connections between emotional resilience and success, this course aims to help us all create a more supportive academic environment, where students can do their best research work. 

English for Journalists offers instruction in English language development for students who are studying journalism, or working journalists who want to improve their English proficiency. Students with a basic understanding and interest in journalism are encouraged to sign up.

In this communication course, you will learn about key topics that are essential to journalists working around the world. These topics include:

• The job of the journalist
• Ethics in journalism
• Inclusive journalism
• Local vs. Global journalism
• Citizen journalism

Issues in English vocabulary, idioms, and grammar are explored as well.

“English for Journalists” is sponsored by the U.S. Department of State, and developed in partnership with the Regional English Language Office in Central and Southeastern Europe, the Voice of America, and English language educators across Central and Eastern Europe. This course is being offered by UC Berkeley as part of the U.S. Department of State’s MOOC Camp. 

Learn the essentials of U.S. health care policy from some of the nation's top experts.

Data Analysis for Genomics will teach students how to harness the wealth of genomics data arising from new technologies, such as microarrays and next generation sequencing, in order to answer biological questions, both for basic cell biology and clinical applications.

Interested in gaining the basic skills needed to go beyond simple IP address management? It may be time to consider management tools like DHCP and DNS in your quest to optimize your network infrastructure management.

This self-paced computer science course is an introduction to working with Dynamic Host Configuration Protocol (DHCP) in a Windows Server networked environment where you’ll have an opportunity to learn the basics of IP address management, DHCP scope creation and configuration and how to manage and maintain a DHCP infrastructure.

This fundamentals course will prepare you for more advanced courses in Windows Server administration.

You can take this course before or after course Implementing DNS in Microsoft Windows Server. Both courses provide essential skills for working with networks.

Learn how to identify effective nonprofit organizations and apply course concepts by awarding grants to student-nominated nonprofits.

The world is changing rapidly, but how do you begin to understand the effect of these changes on business and society? Learn to analyze the latest global trends so that you can adapt and cope with these changes in business and the world.

The new realities of the 21st century are disrupting the global financial architecture based on the U.S. dollar. Populations are aging. People are moving from the countryside to the cities. There are more people suffering from obesity than people who go hungry. The middle-class is growing fast in the emerging economies yet shrinking in Europe and the United States. The race for energy, natural resources, and food is intensifying.

You’ll learn about these and other global trends, and understand what the consequences are for markets, the business world, and society at large in this international management course from The Wharton School of the University of Pennsylvania. You’ll also learn how to analyze global trends, and to understand both their magnitude and relation to each other. Finally, you’ll discover how you can adapt and cope with these changes as they affect your business and society. 

Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 2 of a 4-part series on Business Statistics, and is ideal for learners who wish to enroll in business programs. The first two parts cover topics in Descriptive Statistics, whereas the next two focus on Inferential Statistics.

Spreadsheets containing real data from diverse areas such as economics, finance and HR drive much of our discussions.  

In Part 2, we use the language of probability to examine the underlying distributions of random variables. We model real-life phenomena using known variables such as Binomial, Poisson and Normal. We learn how to simulate data that are distributed according to these variables.

We shall take up datasets that have over a million rows, which makes it difficult to analyze using a spreadsheet. This is a natural setting for R, an advanced statistical programming platform. We incorporate helpful tutorials to get learners acquainted with the platform.