Courses

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

How can we eradicate malaria? Explore cutting-edge science and technology, and examine policies needed, to control and eliminate malaria.

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

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

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.

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

Lead the strategic response to cyber risk.

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

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

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

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

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

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

A gentle introduction to programming that prepares you for subsequent courses in coding.

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

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

AI in Action provides the insights and tools you'll need to understand and utilize AI in all its forms.

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.

Learn how to create, read, update, and delete data with relational databases.

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

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

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

This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students).

Explore the risks and rewards of data privacy and collection.

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

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.

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

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

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