References

• R for Data Science by Garrett Grolemund and Hadley Wickham (ebook)
• Data wrangling, exploration, and analysis with R by Jenny Bryan (course)
• Data Carpentry: R for Ecologists (workshop) | Karl Broman version
• Data Analysis for the Life Sciences by Rafa Irizarry and Michael Love (edX series & book)

• RStudio Cheatsheets

• Introduction to R for Python Users by Ramnath Vaidyanathan
• Advanced R by Hadley Wickham (ebook)
• Using R and RStudio at Amherst College (Book)
• RStudio Webinars
  • Webinar GitHub
  • rstudio::2017 Slides | rstudio::2017 Videos
• https://www.rdocumentation.org/
• https://open.nasa.gov/explore/

• Modern Dive by Chester Ismay and Albert Y. Kim

• Yandell Data Club
• Profession Skills for Data Science (markdown version)

• Yandell Fall 2015 Stat 627 Moodle | Syllabus | Weekly Schedule