Learning Resources

R

• “Learn R 4 Free (resources in English, Spanish, Turkish)”
  • Page with links to free resources for learning R.
• “SICSS Bootcamp”
  • Bootcamp for R
• “R for Data Science”
  • A resource for beginners who are interested in learning both the basics of R and data science.
• “Advanced R”
  • A resource for more advanced R users who are interested in learning more in-depth knowledge about how the R programming language works.
• “The tidyverse style guide”
  • A style guide for writing R code (requires a VPN to access in mainland China)
• “Tidyverse”
  • Website with resources for using the tidyverse, one of the most popular collections of R packages
• “R Packages”
  • A guide to building a R package
• “Ten Steps to Becoming a Tidyverse Contributor”
  • A guide to contributing to R open source packages
• “Creating websites in R”
  • A quick guide to making a website using RMarkdown

Python

• “Dartmouth College CS 1 Curriculum”
  • Website for Dartmouth College’s Computer Science 1 course

SQL

• “SQL Murder Mystery”
  • An interactive website for learning SQL

Git and GitHub

• “Resources to learn Git”
  • Resources compiled by GitHub for learning Git
• “GitHub Learning Lab”
  • Interactive tool from GitHub for learning Git

Machine Learning/Data Science

• “The Elements of Statistical Learning”
  • A free online textbook for statistical learning
• “Data Science for Economists”
  • Data science for economists lecture with links to resources
• “Data Science in a Box”
  • Intro data science course

Statistics

• “Open Intro Stats”
  • Free online resources for intro statistics
• “Intro to Stats in R”
  • Introductory statistics using R
• “Resampling Methods in R”
  • Bootstrapping and other methods in R