Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Beginner
Online edX Courses
Data Science: Inference and Modeling
Learn inference and modeling: two of the most widely used statistical tools in data analysis.
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Data Science: Probability
Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.
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Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2.
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Data Science: Machine Learning
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
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Introduction to Linear Models and Matrix Algebra
Learn to use R programming to apply linear models to analyze data in life sciences.
Intermediate
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High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data.
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Professional Certificate in Data Science
This program gives you useful skills to tackle real-world data analysis challenges, covering concepts like probability, inference, regression, and machine learning.
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Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.
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An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.
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