Free Courses

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

An in-depth look at the 1854 London cholera epidemic in Soho and its importance for the field of epidemiology.

Learn how American women created, confronted, and embraced change in the 20th century while exploring ten objects from Radcliffe’s Schlesinger Library.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.

An overview of divination systems, ranging from ancient Chinese bone burning to modern astrology.

An exploration of the magnetic and ambivalent character of Shylock in William Shakespeare’s The Merchant of Venice.

Learn about the forces in American politics that seek to influence the electorate and shift the political landscape.

Reimagine global health problems with some of the leading global health thinkers and actors through a case-based biosocial framework.

Learn to use machine learning in Python in this introductory course on artificial intelligence.

Happiness is within your control. Write your own ending.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Learn how to protect your own data, devices, and systems from today's threats.

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

Learn how to better understand the rich and complex ways that religions function in historic and contemporary contexts.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Contracts are a part of our everyday life, arising in collaboration, trust, promise and credit. How are contracts formed? What makes a contract enforceable? What happens when one party breaks a promise?

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

This intensive course, developed by the International Society for Stem Cell Research (ISSCR), offers a comprehensive exploration of key topics in stem cell medicine.

How can we eradicate malaria? Explore cutting-edge science and technology, and examine policies needed, to control and eliminate malaria.

Top chefs and Harvard researchers explore how everyday cooking and haute cuisine can illuminate basic principles in chemistry, physics, and engineering. Learn about food molecules and how chemical reactions can affect food texture and flavor.

Learn to use R programming to apply linear models to analyze data in life sciences.

Develop the skills to lead with courage and conviction through challenging times with this free, 35-minute Harvard Business School (HBS) Online lesson.

Explore how entrepreneurship and innovation tackle complex social problems in emerging economies.

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Examine how great modern writers capture the intricacies of our globalized world and how their works circulate within that world to find their own audiences.

The structure, annotation, normalization, and interpretation of genome scale assays.

An overview of modern Chinese history, including the fall of the Qing and the end of imperial China.

Learn about the rich diversity of Hindu sacred texts – hymns, narratives, philosophical thought – and their interpretations.