General Courses

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 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.

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

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

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

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

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

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.

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

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

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

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

This Harvard Medical School one-year, application-based certificate program helps leaders effect positive change by learning to turn patient data into actionable, transformable knowledge.

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