By the end of the course, students will feel confident using R for basic data analysis and visualization. Namely, students will be able to: manipulate data sets, find and install packages, conduct preliminary statistical analyses, and create basic visualizations.
No prior programming experience is required or expected. There are no prerequisities.
| Week | Topic |
|---|---|
| 1 | Introduction to R and its use in biological research, Navigating R Studio , Importing data sets & basic summary stats |
| 2 | Data manipulation |
| 3 | Basic statistical analysis and plotting -- summary statistics, t.tests, chi-squared, ggplot |
| 4 | An intro to 'advanced' topics in R -- for loops, if/else statements, writing functions |
| 5 | Group project on a biological dataset of your choosing |
Growth mindset. Everyone has the ability to learn and improve their abilities through effort, support, and experience. The practice exercises are designed to be challenging and incorporate concepts and information not necessarily covered in the lecture notes. You are encouraged to use any means you can think of to complete these exercises -- the internet, each other, me, etc.