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.

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

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

Think critically about social questions such as education policy, upward income mobility, and racial disparities, and understand how big data can answer these questions as well as impact policies that lead to improved outcomes around the world.

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

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

Created by Harvard faculty Teddy Svoronos, utilize the power of analytical evidence to problem solve, measure effectiveness, and develop impactful policy.

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

Discover how to combine AI-powered analysis with visual storytelling to turn complex data into clear insights that drive smarter decisions.

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

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

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

A focus on the techniques commonly used to perform statistical inference on high throughput data.

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

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

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.

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

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

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

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

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

Leading Successful Programs will challenge you to rethink your programs' goals and reassess how you gather, evaluate, and use data to determine their effectiveness.

Data Science and AI Principles is a Harvard Online course that gives you an overview of data science and AI systems with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, ethics.

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

Leading Successful Programs will challenge you to rethink your programs' goals and reassess how you gather, evaluate, and use data to determine their effectiveness.

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

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.

In partnership with the Disparities Solutions Center at Massachusetts General Hospital, this course will help you deliver high-quality health care to all through organizational change.

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