3 Workshops

These materials can be used for independent study, but they have also been used to support:

3.1 Pre-workshop set-up

Optional reading on the big picture motivation: Why Git? Why GitHub?

It is vital that you attempt to set up your system in advance. You cannot show up at the workshop with no preparation and keep up!

Try this. Best case scenario is about 1 - 2 hours. If you hit a wall, we will help:

Troubleshooting:

These are battle-tested instructions, so most will succeed. We believe in you! If you have trouble, reach out for help and stick with it. Where to get help:

3.2 posit::conf 2023

1-day workshop: What They Forgot to Teach You About R
Will have half-day coverage of Git/GitHub Sep 17, posit.co/conference Workshop Day, Chicago

Registered workshop participants should use this thread on community.rstudio.com to discuss system prep woes.

3.3 Previous workshops

  • rstudio::conf 2022
  • 2-day workshop: What They Forgot to Teach You About R
  • ~25% of content was Git/GitHub
  • July 25-26, 2022, Washington, D.C.
  • RaukR: Advanced R for Bioinformatics Summer School
    • June 13, 2022, online
  • rstudio::conf 2020
    • 2-day workshop: What They Forgot to Teach You About R
    • ~25% of content was Git/GitHub + R/Rmd/RStudio
    • January 27-28, 2020, San Francisco, CA
  • UBC Master of Data Science Program
    • Guest lecture on daily Git/GitHub workflows
    • January 9, 2020
  • RaukR: Advanced R for Bioinformatics Summer School
    • June 10-20, 2019, Visby, Sweden
  • rstudio::conf 2019
    • 2-day workshop: What They Forgot to Teach You About R
    • ~25% of content was Git/GitHub + R/Rmd/RStudio
    • Jan 15-16, 2019, Austin, TX
  • Seattle October 2018
  • rstudio::conf 2018
    • 2-day workshop: What They Forgot to Teach You About R
    • ~25% of content was Git/GitHub + R/Rmd/RStudio
    • Jan 31 & Feb 1, 2018, San Diego, CA
  • CSAMA 2017: Statistical Data Analysis for Genome Biology
  • satRday Cape Town 2017
  • rstudio::conf 2017
  • CSAMA 2016: Statistical Data Analysis for Genome Biology
  • useR! 2016 Stanford