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A gentle introduction to R and its Tidyverse that focuses on Exploratory Data Analysis (EDA).

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Welcome to the Tidyverse

Welcome to Welcome to the Tidyverse.

  1. Download the class slides by clicking the green Clone or download button above. (Then click Download Zip in the tab that appears).

  2. Launch an RStudio IDE pre-loaded with today's exercises and slides by clicking here and logging in.


Course Abstract

Looking for an effective way to learn R? This one day course will teach you a workflow for doing data science with the R language. It focuses on using R's Tidyverse, which is a core set of R packages that are known for their impressive performance and ease of use. We will focus on doing data science, not programming. You'll learn to:

  • Visualize data with R's ggplot2 package
  • Wrangle data with R's dplyr package
  • Fit models with base R, and
  • Document your work reproducibly with R Markdown

Along the way, you will practice using R's syntax, gaining comfort with R through many exercises and examples. Bring your laptop! The workshop will be taught by Garrett Grolemund, an award winning instructor and the co-author of R for Data Science.

About the instructor

Garrett is the author of Hands-On Programming with R and co-author of R for Data Science and R Markdown: The Definitive Guide. He is a Data Scientist at RStudio and holds a Ph.D. in Statistics, but specializes in teaching. He's taught people how to use R at over 50 government agencies, small businesses, and multi-billion dollar global companies; and he's designed RStudio's training materials for R, Shiny, R Markdown and more. Garrett wrote the popular lubridate package for dates and times in R and creates the RStudio cheat sheets.

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A gentle introduction to R and its Tidyverse that focuses on Exploratory Data Analysis (EDA).

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