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An introduction to the R programming environment geared towards the biological sciences. Topics include installation & software setup, programming, and data exploration & analysis, with heavy focus on data visualization [graphics] within R. Students will learn analyses with a focus on shareability and reproducibility within the context of a project or mini projects. Students may bring their own data and use-case datasets will be available as well. Upon completion of the course, students will be prepared to extend their contextual programming skills and understanding into future work involving data science and AI pipelines with a greater understanding of the underlying processes. Although examples focus on biological contexts, learners from all fields are welcome to bring their background knowledge and extend their understanding. [Skill-based prerequisites]: Familiarity with biology and biological research, or research/background knowledge in a field of interest.

Typically offered in Fall and Spring