Data Analytics in R

Catalog description

Students learn how to use the R programming language and RStudio environment to gain meaningful insights from bioscience data sets such as genetic expression data and bioprocessing experimental data. Techniques covered include sourcing and loading datasets, sorting and filtering data, performing statistical summaries, applying third-party mathematical functions, creating loops and workflows, and creating graphs to visualize results. Students will learn and apply these techniques using a combination of in-class activities, applied homework, and a summative final team project.