R for Data Science (Part 3): From Data Import to Tidy and Relational Data
A learning circle
Facilitated by
Sébastien
Research scientist in experimental and computational biology. Passionate about education and learning communities. From Toulouse, Paris, Philadelphia, Boston.
Welcome!
This learning circle organized with BosLab will use the free R for Data Science (R4DS) book by Hadley Wickham and Garrett Grolemund and the community-contributed R for Data Science Exercise Solutions book by Jeffrey Arnold. We will cover chapters 9-13 continuing from where we left off in the second R4DS learning circle. The meetings will consist of an interactive lecture with live coding and small-group exercise breaks.
Prerequisite: To join this learning circle, you should have participated in the previous R4DS learning circles or be familiar with the material in chapters 1-8 of the R4DS book. If you need help learning or revising these chapters, please email me at sebastien.vigneau[AT]gmail.com.
Course materials we'll use
"R for Data Science" teaches how to do data science with R. Chapters cover how to import, tidy, transform, visualize, model, and communicate data. The general philosophy is to teach the most useful skills first, using an abundance of examples and exercises. Solutions to the exercises can be found in a community-contributed book by Jeffrey Arnold: https://jrnold.github.io/r4ds-exercise-solutions/. License: CC BY-NC-ND 3.0 US
Join this learning circle
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Meetings
- July 21 at 7PM EDT
- July 28 at 7PM EDT
- Aug. 2 at 7PM EDT
- Aug. 16 at 7PM EDT
- Aug. 23 at 7PM EDT
Location
Online, Zoom, Boston