External Resources for Self-Directed Learning

Members of the cyberinfrastructure team have scoured the web for resources and tutorials to help you identify and learn new data skills.

Topic Link Environment
Basics/Syntax R for Journalists R
  R Tutorial R
  The Unix Shell Shell 
  Resources for Better Science in Less Time R
Language Hadley Wickam's Advanced R R 
  swirl; Learn R in R R 
  Programming with Python  Python 
  How to Teach Yourself R R
Statistics Mark Gardener's Statistics Tutorial  R
  In-Depth Introduction to Machine Learning R 
Visualizations Graph Catalog  R 
  Graphics Cookbook R 
  Comprehensive ggplot Gallery  R 
  Producing Simple Graphs  R 
Geospatial Data Introduction to Rasters  R 
  Data Intensive Tutorials Various
  EarthML Tutorials Python
Soil Science List of Open Source Software Tools  Various 
Environmental Science Quantitative Tutorials R
Basic Fisheries Analysis Introduction to R and Tutorials R
Version Control git Tutorial  Shell 
Web Scraping Requests and BeautifulSoup Python
Cheat Sheets Unix/Linux  Shell 
  RStudio IDE R
  R Markdown R 
  R Markdown Reference Guide  R 
  Data Visualization  R 
  Package Development  R 
  Data Wrangling  R 
  RShiny  R 
Full Course Jenny Bryan's Stat 545 R
  Transition to R: Free Online Course R
Community Eco-Data-Science Various
  R-bloggers R
  Stack Overflow Various
  SESYNC Github Various

Many additional topics are available through the following websites or organizations. These are geared towards providing a lot of training material, which the cyberinfrastructure staff may be less familiar with.

If you are looking to participate directly with a larger network of scientific coders, good starting points are the R-bloggers and rOpenSci communities. Finally, if you cannot find a resource for a particular topic that's written for your preferred environment, reach out to the cyberinfrastructure team at cyberhelp@sesync.org.