BZAN 542 - Data Mining Methods for Business Applications

3 Credit Hours

Understanding and application of data mining methods. Data preparation; exploratory data analysis and visualization; cluster analysis; logistic regression; decision trees; neural networks; association rules; model assessment; and other topics. Applications to business problems. Use of standard computer packages.
Cross-listed: (Same as Statistics 574.)

(RE) Prerequisite(s): 535.

Undergraduates

Graduate Students

BZAN 542 - Data Mining Methods for Business Applications