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.

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

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.

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

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.

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

This Harvard Medical School one-year, application-based certificate program helps leaders effect positive change by learning to turn patient data into actionable, transformable knowledge.

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

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

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

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

This three-course program from Harvard Business School (HBS) Online will teach you the fundamental skills to confidently contribute to business decisions and decision-making.  

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

This course from Harvard Business School (HBS) Online will teach you the practical skills to turn data insights into strategic action.

Develop a data mindset and the analytical skills to interpret and communicate data while applying concepts to real business problems in this course from Harvard Business School (HBS) Online.

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

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

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.

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 process and convert raw data into formats needed for analysis.  

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

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

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

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

Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.

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.

Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.