Learning R for data science during the zombie apocalypse

Interested in learning R for data science while hunkering down for a virus outbreak, or while on break or vacation? Below are some links to resources where you can learn more about R, statistics, and applying techniques to real world problems.

Textbooks

Textbooks are a classic way to brush up on your skills. These days many books can be read for free online and come with example code and data sets. Folks learning in their spare time can set chapter based goals rather than tacking the subject all at once.

Discovering statistics via R

Statistical inference via data science

The five best books on data science

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RStudio 2020 Workshop Materials

Introduction to Data Science in the Tidyverse

by Amelia McNamara and Hadley Wickham https://github.com/rstudio-conf-2020/data-science-tidy

Introduction to Machine Learning with the Tidyverse

by Alison Hill and Garrett Grolemund https://github.com/rstudio-conf-2020/intro-to-ml-tidy

A Practical Introduction to Data Visualization with ggplot2

by Kieran Healy https://github.com/rstudio-conf-2020/dataviz

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RStudio 2020 Talks

Videos for all talks can be found here: https://resources.rstudio.com/rstudio-conf-2020

Keynote 2: Data, Visualization, and designing with AI

Speakers: Fernanda Viegas and Martin Wattenberg Video: https://resources.rstudio.com/rstudio-conf-2020/data-visualization-and-designing-ai-fernanda-viegas-and-martin-wattenberg

Project website: http://google.ai/pair

Keynote: Object of type ‘closure’ is not subsettable

Speaker: Jenny Bryan Video: https://resources.rstudio.com/rstudio-conf-2020/object-of-type-closure-is-not-subsettable-jenny-bryan

Slides: http://rstd.io/debugging