The Ultimate R Cheatsheet
We are developing a revolutionary new system for teaching Business Analysis with R (Business Analysis with R is a new course we are developing at Business Science University). The system is revolutionary for a number of reasons (we’ll get to these in a minute). The cornerstone of our teaching process is the Data Science with R Workflow that was originally taught by Hadley Wickham and Garrett Grolemund in the excellent book, R For Data Science. The Ultimate R Cheatsheet links the documentation, cheatsheets, and key resources available for every R package in the data science with R workflow into one meta-cheatsheet that illustrates the workflow.
The Ultimate R Cheatsheet is available here.
HOW TO USE THE CHEATSHEET
The cheatsheet contains every resource you need for referencing the tidyverse documentation in one spot. Let’s take a look.
The first thing you will notice is the workflow that is prominently presented. You can see where the various R Packages are used.
Data Science Workflow
LINKS TO DOCUMENTATION
Here’s the beauty of the R cheatsheet. With one click, you can easily get to the web documentation for any of the key tidyverse R packages.
One-Click To Documentation
LINKS TO PACKAGE CHEATSHEETS
By clicking “CS”, you can even get the individual R package cheatsheets. These are PDF documents maintained by RStudio that provide snapshots of the most important functions contained in the package cheatsheets.
One-Click To Package Cheatsheets
LINKS TO KEY RESOURCES
We didn’t stop at documentation and cheatsheets. We also added in important references to get you up to speed quickly.
One-Click To Important References
LEARNING DATA SCIENCE FOR BUSINESS WITH R
To be efficient as a data scientist, you need to learn R. Take the course that has cut data science projects in half and has progressed data scientists more than anything they have tried before. Over 10-weeks you learn what it has taken data scientists 10-years to learn:
- Our systematic data science for business framework
- R and H2O for Machine Learning
- How to produce Return-On-Investment from data science
- And much more.