Courses

Master how to use AI in your everyday work and drive impact at your organization. Access on-demand learning modules, expert-led sessions, and Harvard insights that help you apply AI to real business challenges—join today for access through September 2026.

Explore the risks and rewards of data privacy and collection.

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

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

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

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

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.

Learn how to create, read, update, and delete data with relational databases.

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

Learn the significance of electrochemistry, understanding how electrical, chemical, and mechanical energy are linked.

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

Learn to process and convert raw data into formats needed for analysis.  

An introduction to the intellectual enterprises of computer science and the art of programming.

Learn what is involved in using data wisely to build a culture of collaborative inquiry. 

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

Sentar las bases de conocimiento en R y aprender a discutir, analizar y visualizar datos.

Build a foundational understanding of AI concepts with this course from Harvard Business School (HBS) Online.

Discover library design best practices, tour a world-famous library, and apply your new learnings in group design exercises.

Dive into the mechanisms of action and exciting applications of new FDA-approved genetic medicines.

Learn about advances in interpreting biomedical signals and the use of machine learning and deep learning to aid in analysis and diagnosis.

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

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

Taught by Harvard Law School faculty, Financial Analysis and Valuation for Lawyers is a Harvard Online course designed to help you navigate your organization or client’s financial goals while increasing profitability and minimizing risks.

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

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

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

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

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

Learn basic data visualization principles and how to apply them using ggplot2.

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