DAT 315 - Data Science Methods

Credits: 4

This course introduces methods for acquiring, filtering, and analyzing data sets using statistical software (such as R or Python). Topics include implementing algorithms and data structures using statistical software, with a focus on problem solving.

Prerequisites: CS 260 and STAT 352 (or STAT 327)