BIOL 5404
Biological Data Science in R
Develops the practical skills needed to work with large and complex datasets, as a complement to statistical methods. Topics include programming, quality control, tidy data, visualization, project organization, reproducibility, how to troubleshoot code, and how to translate research goals into a project pipeline.
Topics
- programming
- quality control
- tidy data
- visualization
- project organization
- reproducibility
- how to troubleshoot code
- how to translate research goals into a project pipeline
Course catalogue
Prerequisites & course information
Prerequisite(s): a course in statistics at the undergraduate level, or permission of the director or associate director of OCIB.
Sources
- Course catalogue ↗2026–2027