Courses

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.

Taught by Harvard Law School faculty, Financial Analysis and Valuation for Lawyers is a Harvard Online course designed to help you navigate your organization or client’s financial goals while increasing profitability and minimizing risks.

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

Lead the strategic response to cyber risk.

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

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

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.  

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

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

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

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

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

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

Leading Successful Programs will challenge you to rethink your programs' goals and reassess how you gather, evaluate, and use data to determine their effectiveness.

Discover how to combine AI-powered analysis with visual storytelling to turn complex data into clear insights that drive smarter decisions.

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.