
Develop skills in digital research and visualization techniques across subjects and fields within the humanities.Free^{*}7 weeks longAvailable now

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal...Free^{*}9 weeks longAvailable now

Learn basic data visualization principles and how to apply them using ggplot2.Free^{*}8 weeks longAvailable now

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.Free^{*}8 weeks longAvailable now

Learn inference and modeling: two of the most widely used statistical tools in data analysis.Free^{*}8 weeks longAvailable now

Build a foundation in R and learn how to wrangle, analyze, and visualize data.Free^{*}8 weeks longAvailable now

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.Free^{*}8 weeks longAvailable now

Learn to process and convert raw data into formats needed for analysis.Free^{*}8 weeks longAvailable now

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.Free^{*}8 weeks longAvailable now

Show what you’ve learned from the Professional Certificate Program in Data Science.Free^{*}2 weeks longAvailable now

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results,...Free^{*}8 weeks longAvailable now

A focus on several techniques that are widely used in the analysis of highdimensional data.Free^{*}4 weeks longOpensOct 1

A focus on the techniques commonly used to perform statistical inference on high throughput data.Free^{*}4 weeks longOpensOct 1

Learn to use R programming to apply linear models to analyze data in life sciences.Free^{*}4 weeks longOpensOct 1

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.Free^{*}4 weeks longOpensOct 1