Introduction to Data Science
  • Home
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5
  • FAQ
  • Further Resources
  • Show All Code
  • Hide All Code

Further Resources

Kathleen Hablutzel

7/23/2020

Cheatsheets

  • Data Visualization cheatsheet (ggplot2)

  • Data Wrangling cheatsheet (dplyr and tidyr)

  • Data Transformation cheatsheet (dplyr)

  • Spatial Manipulation cheatsheet (sf)

  • leaflet cheatsheet

  • R Markdown Reference Guide

  • Other Cheatsheets

Textbooks

  • R for Data Science

  • Learning Statistics with R

  • R Markdown

  • Tidyverse Style Guide

  • Data Points Ch. 3

Documentation

  • ggplot2

  • dplyr

  • tidyr

  • sf

  • leaflet

GitHub and Git

  • Installing Git

  • Introduction to Git

  • Another Git Tutorial

  • Using Git with RStudio

Statistics

  • Learning Statistics with R

  • MIT OpenCourseWare Intro Probability & Statistics

  • Khan Academy AP Statistics

  • What Statistical Test Should I Use?

Other Resources

  • ColorBrewer 2.0

  • RMarkdown Website Guide

  • Netlify

  • Websites with GitHub Pages and R Markdown (How I made this website!)

  • Shiny Apps


See the GitHub repo, or contact me via my personal website.

Credit: Course and website by Kathleen Hablutzel, NCSSM '19, Smith College SDS+CS '23.

Almost everything I share, I learned from Smith College's SDS 192 Introduction to Data Science course by Ben Baumer and R. Jordan Crouser.