Free Courses

Discover what makes your brain tick in this third course in our introductory series in neuroscience.

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.

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

Examine the inner workings of the three branches of the U.S. Federal Government

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students).

Learn the skills and tools of improvement science to make positive changes in health, healthcare, and your daily life.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Explore the impact of the conquest dynasties and the world of the Ming.

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

Join Harvard faculty in this online course to discover the physical history of the Jewish bible.

Learn how a Culture of Health can transform your business by integrating worker, customer, community, and environmental well-being for sustainable success.

Apply tools of single-variable calculus to create and analyze mathematical models used by real practitioners in social, life, and physical sciences.

Increase your quantitative reasoning skills through a deeper understanding of probability and statistics, with the engaging “Fat Chance” approach that’s made this course a favorite among learners worldwide.

Examine best practices in child and family policies, advocacy, financing, and pathways to scale.

Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.

Learn about public policy in America and the dynamics of American politics.

In Remote Work Revolution for Everyone, you will learn to excel in the virtual-work landscape. You will learn how to build trust, increase productivity, use digital tools intelligently, and remain fully aligned with your remote team.

Explore China’s imperial period, with a focus on the Song dynasty and the role of the exam system in government.

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.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Learn to deliver high-quality primary health care at scale through national community health worker programs.

Learn about successful collaborations between families and educators and why they lead to improved outcomes for students and schools.

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

Equipping clinicians with an up‑to‑date, comprehensive understanding of stem cell–based approaches for Parkinson’s disease, including biological rationale, current trial outcomes, comparison with existing therapies, and guidance for evidence.

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

A human-centered approach to the fundamentals of cell biology with a focus on the power plants of the cell - mitochondria.

A focus on several techniques that are widely used in the analysis of high-dimensional data.

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

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.