Harvard University Online Courses

Harvard University needs no introduction. One of the top universities in the world, people as varied as Bill Gates and Barack Obama have studied there.

Many of the online courses at Harvard University are even free. This makes it a fantastic place to study topics like computer science, project management, history, literature and more.

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

Short Course
Beginner
8 weeks

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

Short Course
Beginner
8 weeks

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Short Course
Beginner
8 weeks

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

Short Course
Beginner
8 weeks

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

Short Course
Beginner
8 weeks

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

Short Course
Intermediate
4 weeks

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

Short Course
Advanced
4 weeks

This program gives you useful skills to tackle real-world data analysis challenges, covering concepts like probability, inference, regression, and machine learning.

Pro. Certificate
Beginner
17 months

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

Short Course
Beginner
9 weeks

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

Short Course
Intermediate
4 weeks

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Short Course
Beginner
8 weeks

An introduction to the architecture of deep neural networks, algorithms that are developed to extract high-level feature representations of data

Short Course
Advanced
7 weeks