Primers
R for Bio Data Science
Welcome to R for Bio Data Science
Prologue
Getting Started
Course Labs
Lab 1: Course Intro & the Very Basics
Lab 2: Data Visualisation I
Lab 3: Data Visualisation II
Lab 4: Data Wrangling I
Lab 5: Data Wrangling II
Lab 6: Applying Functional Programming with Purrr to Models
Lab 7: Collaborative Bio Data Science using git and GitHub via RStudio
Lab 8: Creating a Simple R-package
Lab 9: Creating a Simple Shiny Application
Lab 10: Project Startup & Industry Talks
Primers
Primer on Linear Models in
R
Primer on Logistic Regression in
R
Primer on Functions in
R
Primer on R package development
Paths & Projects
Variable Assignment in
R
git
command line vs. RStudio GUI
Guides
Guide for Cloud server and the RStudio IDE
Guide for Working Locally
Guide for Building the R4DS2e Book Locally
Code Styling
External Resources
Course Elements
Use of AI in the R for Bio Data Science Course
Assignments
Project Description
Project FAQ
Project Checklist
Exam
References
Primers
Published
2026
Various short introductions (primers) pertaining to relevant course items
Lab 10: Project Startup & Industry Talks
Primer on Linear Models in
R