BZAN 552 - Multivariate and Data Mining Techniques

3 Credit Hours

Multivariate normal distribution, data visualization, handling missing data, dimension reduction techniques, supervised learning, clustering, outlier detection, including a team-based project and common data mining software.
Cross-listed: (Same as Statistics 576.)

(RE) Prerequisite(s): 540 and 542.
Comment(s): Prior knowledge may satisfy prerequisite with consent of instructor.

Undergraduates

Graduate Students

BZAN 552 - Multivariate and Data Mining Techniques