External Resources
Here, you will find various valuable resources, to aid your bio data science workflow
A few quick ones…
- A very handy
ggplotcheat-sheet can be found here - So which plot to choose? Check this handy guide
- Explore ways of plotting here
- There is a nice tool to aid in choosing colours for visualisations here
- The Posit community pages is a very nice place to get help if you’re stuck
Open source data science books
- Hands-On Programming with R by Garrett Grolemund
- Statistical Inference via Data Science - A moderndive into R and the tidyverse by Chester Ismay and Albert Y. Kim
- Introduction to Data Science, Data Analysis and Prediction Algorithms with R by Rafael A. Irizarry
- Mastering Shiny by Hadley Wickham
- An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
- STAT 545 - Data wrangling, exploration, and analysis with R by Jenny Bryan
- Happy Git and GitHub for the useR by Jenny Bryan, the STAT 545 TAs, Jim Hester
Software Links
Some Useful Links
- From data to Viz: Find the graphic you need
- R for Data Science: Exercise Solutions
- R colour guide by Tian Zheng
- The tidyverse style guide - By Hadley Wickham
- RStudio Primers - Learn data science basics with the interactive tutorials
- The tidyverse style guide
- swirl - Learn R, in R
- RStudio Cheat Sheets
- RStudio Community - Stuck? Ask a question and get help moving on
- HarvardX Biomedical Data Science Open Online Training
- Data Analysis Playlist