Course Catalog Description
STAT 312: Data Mining and Statistical Programming
A rigorous exploration of statistical methods designed to glean information from a data set. Techniques include categorical analysis, clustering, trees and forests, dimensionality reduction, and outlier detection. Further topics include graphical and statistical methods for exploring data, as well as evaluating statistical methods. The Python programming language will be used.
Prerequisites: STAT 200 (plus another STAT course), CS 142, MATH 145 or 152, and MATH 185.
Cross-listed as CS 312
- Teacher: Ole Forsberg