Data Analysis with R
This course is designed for upper-level undergraduate and graduate students who have had some introduction to R-programming and want to improve their skills in the management, analysis, and visualization of biological data. We will go through the process of designing an analytical pipeline from start (data cleaning) to finish (building a package). There will be a focus on creating reproducible code that is suitable for publication. Course Requirements Course assessment will consist of four short take-home programming assignments (15% each) and a final project (40%). For the final project, students will create their own R package with several custom functions for the analysis of a dataset of their choice. Students may use any online resources for the assignments that they wish, and will be graded on the functionality, reproducibility, and documentation of their code.
Sources
- Course catalogue ↗2026-2027