7  Books

One main reference that you should be using is Safari Books which you have access to as a students. See the university library > Databases A-Z > Safari Books

There are many many R bookdown books that are now published online that are useful as references for using R and for doing data science.

Here is a short list from the class syllabus.

R books

• Wickham, Grolemund R for Data Science
• Wickham, Advanced R
• Ismay, Kim, ModernDive
• Phillips, Yarrr
• Speegle, Probability, Statistics, and Data: A Fresh Approach Using R
• Boehmke, Greenwell, Hands-On Machine Learning with R
• Kross, Unix Workbench
• Silge, Robinson, TidyText
• Wickham, Mastering Shiny
• Sievert, Interactive web-based data visualization with R, plotly, and shiny
• Janssens, Data Science at the Command Line

Reference Texts:

• Baumer, Kaplan, Horton, Modern Data Science with R, 2nd edition, CRC Press, 2017.

Further References:

• Bryan, Hester, Happy Git and GitHub for the useR
• VanderPlas, Python Data Science Handbook
• Klok, Nazarathy, Statistics with Julia
• Garrels, Bash Beginners Guide