Courses

Explore the risks and rewards of data privacy and collection.

Learn about advances in interpretation of medical images using deep learning systems that can aid in clinical screening and diagnosis.

Explore the foundational principles of artificial intelligence (AI) and its transformative applications in medicine and biomedical research.

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

Explore and understand your own theories of learning and leadership. Gain the tools to imagine and build the future of learning.

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

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.

Gain an understanding of history, museum studies, and curation by looking at, organizing, and interpreting art, artifacts, scientific curiosities, and the stuff of everyday life.

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

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

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

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

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

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

This course from Harvard Business School (HBS) Online will equip you with a strategic understanding of how AI is transforming organizations.

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.

Examine best practices in child and family policies, advocacy, financing, and pathways to scale.

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

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.

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.

HKS Executive Education and Harvard's John A. Paulson School of Engineering and Applied Sciences present a webinar featuring Harvard faculty Martin Wattenberg and Fernanda Viégas.

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.

Discover how artificial intelligence is transforming today's businesses and how you can leverage it to grow your company into an AI-first leader.

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

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 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

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

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