DATA410 — Multivariate Analysis
5 CR Introduce various statistical methods for analyzing more than one outcome variable and understanding the relationships between variables. Topics include a variety of multivariate models such as MANOVA, discriminant functions, canonical correlation, and cluster analysis. The focus will be on real world examples from a variety of sources and using statistical software. Recommended: DATA 460 or DA 460. Course
Prerequisites: MATH342, DATA333, ISIT333