Courses

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

The structure, annotation, normalization, and interpretation of genome scale assays.

This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.

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

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

Learn how to protect your own data, devices, and systems from today's threats.

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

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

This is CS50’s introduction to computer science and tech literacy for business professionals.

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.

Increase your quantitative reasoning skills through a deeper understanding of probability and statistics, with the engaging “Fat Chance” approach that’s made this course a favorite among learners worldwide.

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

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.

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

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

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

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

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

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

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

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

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.

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

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

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

Learn to use machine learning in Python in this introductory course on artificial intelligence.

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.

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

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