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: ISDS 361A, ISDS 361B, all with a “C” (2.0) or better, BUAD 301; not CBE pre-major or undeclared major; or CBE graduate standing (not pre-MBA). Business Data Analytics minor prerequisites: ISDS 361A, ISDS 361B, all with a “C” (2.0) or better.

400-level Undergraduate Course available for Graduate Credit