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.

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

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

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.

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.

Lead the strategic response to cyber risk.

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

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

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.

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

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.  

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

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.

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.

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

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.

The successful implementation of AI solutions in clinical practice requires teams that are skilled in multiple disciplines, including data science, user-centered design, subject-matter expertise, change management, and more. However, the health care field

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.

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

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

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

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

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.

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.