Courses

Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.

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

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.

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.

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.  

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

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

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.

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

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.

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.

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

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

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