Harvard Online

Introduction to Linear Models and Matrix Algebra

Perform matrix operations

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

Statistical Inference and Modeling for High-throughput Experiments

Learn various statistics topics

A focus on the techniques commonly used to perform statistical inference on high throughput data.

Statistics and R

R programming language in the context of statistical data and statistical analysis

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

Data Science: Capstone

To become an expert you need practice and experience.

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

Data Science: Inference and Modeling

Key concepts through a motivating case study

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

Data Science: Linear Regression

Implement linear regression and adjust for confounding in practice using R.

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

Women Making History: Ten Objects, Many Stories

Learn how women created change through ten iconic objects.

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

Japanese Books: From Manuscript to Print

Become immersed in visual narration.

Join Harvard professor Melissa McCormick to study Japanese scroll art as text and as "little movies" that immerse the viewer through visual narration.

MLOps for Scaling TinyML

Experience MLOps through TinyML.

This online course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning).

Find Courses

Introduction to Linear Models and Matrix Algebra

Statistical Inference and Modeling for High-throughput Experiments

Statistics and R

Data Science: Capstone

Data Science: Inference and Modeling

Data Science: Linear Regression

Women Making History: Ten Objects, Many Stories

Japanese Books: From Manuscript to Print

MLOps for Scaling TinyML