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Learn the tidyverse |
The best place to start learning the tidyverse is R for Data Science (R4DS for short), an O'Reilly book written by Hadley Wickham and Garrett Grolemund. It's designed to take you from knowing nothing about R or the tidyverse to having all the basic tools of data science at your fingertips. You can read it online for free, or buy a physical copy.
We highly recommend pairing R4DS with the RStudio cheatsheets. These cheatsheets have been carefully designed to pack a lot of information into a small amount of space. You can keep them handy at your desk and quickly jog your memory when you get stuck. Most of the cheatsheets have been translated into multiple languages.
(Do you have a book you'd like to see listed here? Please submit a pull request!)
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ModernDive: An Introduction to Statistical and Data Sciences via R by Chester Ismay and Albert Y. Kim. "Help! I’m new to R and RStudio and I need to learn them! What do I do?" If you're asking yourself this, this book is for you.
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Solutions and notes for R4DS by Jeffrey B. Arnold. Work in progress.
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ggplot2: elegant graphics for data science by Hadley Wickham. Goes into greater depth into the ggplot2 visualisation system.
(Do you have a course you'd like to see listed here? Please submit a pull request!)
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Writing functions in R by Hadley and Charlotte Wickham, hosted on datacamp. This course will teach you the fundamentals of writing functions in R so that, among other things, you can make your code more readable, avoid coding errors, and automate repetitive tasks.
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Data visualisation with ggplot2 by Rick Scavetta, hosted on datacamp. Covers the basics of ggplot2. Followed by part 2 which covers more advanced topics.
(Do you have a course you'd like to see listed here? Please submit a pull request!)
- Data Challenge Lab. Stanford University; Hadley Wickham and Bill Behrman. This is a 5-unit course using a flipped classroom. The curriculum is designed to cover each main thread of R4DS multiple times, diving a little deeper at each pass.
- Stat545; UBC; Jenny Bryan. Data wrangling, exploration, and analysis with R
- Stat405; Hadley Wickham, Rice University. Mainly included for historical interest - you can see some of the work that lead up to the creation of the tidyverse.