These notes are supplements to STAT-UB 103, an introductory course in statistical inference and data modeling. For demonstrations we’ve used R, a popular language for statistical work—but one among many. The first three chapters are a pithy introduction to the R environment.

Feedback is most welcome—please get in touch or submit a pull request on Github.

More information on the course can be found in the syllabus.

Credits to Joshua Loftus.