An introduction to extracting knowledge from data. Students are introduced to working with and analyzing big data. Topics include scraping and cleaning data, data wrangling (manipulation of large data sets), data visualization, and creating reproducible results.
Prerequisite: one course in statistics or CS 152 or permission of instructor.
