Course Description

The goal of this course is to introduce biomedical research scientists to R as an analysis platform rather than a programming language. Throughout the course, emphasis will be placed on example-driven learning. Topics to be covered include: installation of R and R packages; command line R; R data types; loading data in R; manipulating data; exploring data through visualization; statistical tests; correcting for multiple comparisons; building models; and, generating publication-quality graphics. No prior programming experience is required.


Learning Objectives:

  • Run R GUI and make use of command line features, including command history and help pages
  • Find and make use of the extensive libraries (R add-ons) available for analyzing biological and other forms of data
  • Load, manipulate, and combine data to make it amenable to further analyses
  • Visualize data with extensive graphics capabilities of R (including ggplot)
  • Use appropriate statistical tests on data within R that will conform to standards expected in scientific journals


This course applies toward the Bioinformatics Curiosity digital badge.

Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment. Please complete a Course Inquiry so that we may promptly notify you when enrollment opens.
Required fields are indicated by .