Courses

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

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

Learn how global warming impacts human health, and the ways we can diminish those impacts.

Explore what makes cities energizing, amazing, challenging, and perhaps humanity’s greatest invention.

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

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

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

Learn about the opioid epidemic in the United States, including information about treatment and recovery from opioid addiction.

Join Harvard Medical School faculty Dr. Luana Marques to use applied psychology to build personal resilience with five science-driven skills.

Learn how to protect children from violence, exploitation, and neglect through law, policy, and practice in a human rights framework.

Understand how the FDA regulates pharmaceuticals and explore debates on prescription drug costs, marketing, and testing.

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.

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

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

Show what you’ve learned from the Professional Certificate Program in Data Science.

An introduction to the study of bioethics and the application of legal and ethical reasoning.

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

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

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