Courses

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

Learn about the Qin and Han dynasties, and how Buddhism and ideas of self-realization influenced the medieval period.

Use the case study method to study China from the rise of Deng Xiaoping to the present.

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

Explore how entrepreneurs build successful businesses by moving technology from lab to market.

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

Examine how cultures of the ancient world defined themselves through literature and how their vision of literature contributes to our understanding of civilization, culture, and literature today.

Access to healthcare services is critical – but is it enough?

Explore and understand your own theories of learning and leadership.

Discover Handel’s Messiah in this installment of First Nights, which will explore five masterpieces of western music.

This intensive course, developed by the International Society for Stem Cell Research (ISSCR), offers a comprehensive exploration of key topics in stem cell medicine.

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

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.

Learn to use R programming to apply linear models to analyze data in life sciences.

Learn about public policy in America and the dynamics of American politics.

Learn the music and cultural impact of three canonical operas from the 1800s: Les Huguenots, Das Rheingold, and Otello.

Examine how great modern writers capture the intricacies of our globalized world and how their works circulate within that world to find their own audiences.

Explore the impact of the conquest dynasties and the world of the Ming.

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

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

Explore the underlying structures of everyday arguments and develop the tools to communicate effectively.

Learn about Claudio Monteverdi’s L’Orfeo, one of the first operas ever written.

Understanding the context for the Ebola outbreak: What went right, what went wrong, and how we can all do better.

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

An exploration of the haunting figure at the heart of one of William Shakespeare’s most famous plays.

Learn to forecast the weather just by looking out your window.

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.

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

Learn how American women created, confronted, and embraced change in the 20th century while exploring ten objects from Radcliffe’s Schlesinger Library.