ISDS 474 - Data Mining for Managers (3)

Fundamentals of data mining. Topics may include association, classification, clustering, decision trees, statistical modeling, and visualization. Motivation for the applications of data mining techniques. Use of data mining software suites on data sets.

Prerequisites: BUAD 301, ISDS 361A, ISDS 361B, not CBE pre-major or undecided/undeclared major; or MCBE graduate standing and not pre-MBA.

400-level Undergraduate Course available for Graduate Credit