Introduction to Data Analysis in R

Six-week short course (1 credit)
Instructor: Jasper McChesney

Course Info

Spring 2021 Details

Tuesday/Thursday 2:30 – 3:45
Runs for six weeks
Meeting dates: 2/2, 2/4, 2/9, 2/11, 2/16, 2/18, 2/23, 2/25, 3/2, 3/4, 3/9, 3/11

Spring 2021 Syllabus (or download PDF)

Catalog Description

An introduction to data analysis in the open-source R language, with an emphasis on practical data work. Topics will include data wrangling, summary statistics, modeling, and visualization. Will also cover fundamental programming concepts including data types, functions, flow of control, and good programming practices. Intended for a broad range of students outside of computer science. Some familiarity with statistics is expected. No prerequisites. 1 credit. Pass/fail grading.

You may also view my Philosophy and Approach to the course.

Registration and Eligibility

As a one-hundred-level course, only undergraduates may freely register for 197R in SPIRE. Freshman and sophomores will also get priority for registration. However, experience has shown that doctoral students are often interested in the class, and indeed it has been designed to be appropriate for them as well. All graduate students should complete a course override form with the college, below. Realize that this may take time to process, and will be contingent on available seats (actual or reserved):

CICS Course Override

Useful Materials

Base R Cheat Sheet (PDF)