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 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 - ISDS 361A, ISDS 361B with a “C” (2.0) or better.

400-level Undergraduate Course available for Graduate Credit

Typically Offered: Fall/Spring