Courses

The Leading in Artificial Intelligence: Exploring Technology and Policy on-campus executive program lies at the critical intersection of policy and technology.

Generative AI: How to Use It and Why It Matters, a flexible, six-week online program from Harvard Kennedy School Executive Education, is designed to demystify this transformative technology.

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

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

An online executive program to explore how policy and technology, together, can address critical threats of the cyber world.

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

A non-technical introduction to Artificial Intelligence (AI) and Machine Learning that challenges participants to immediately apply their learnings and develop their own AI innovations with peers.

This on-campus executive program is designed to equip leaders with the technical, strategic, and policy foundations necessary to navigate these critical emerging technologies.

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

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

Generative AI: How to Use It and Why It Matters, a flexible, six-week online program from Harvard Kennedy School Executive Education, is designed to demystify this transformative technology.

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.

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

Explore the risks and rewards of data privacy and collection.

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

Transform educational environments by mastering the integration of emerging technologies and generative AI to drive learning and innovation.

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 about the advances in artificial intelligence that are transforming the use of natural language processing.

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

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

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.

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

Explore the risks and rewards of data privacy and collection.

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

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.

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.

Data Science Principles is a Harvard Online course in collaboration with Harvard Business School Online that provides an overview of data science with a code- and math-free introduction to prediction, causality, data wrangling, privacy, and ethics.