CIS 342 - Data Analytics

Lecture Hours: 3
Lab Hours: 0
Credit Hours: 3

Covers the application of probability, statistics and computational modeling to perform technical analysis of data. Topics include Markovian processes, regression, analysis of variables, statistical significance, hypothesis testing, bagging and boosting, and clustering. Prerequisite(s): CIS 241 or MA 305 with a minimum grade of C.