ANLY 715 - Applied Multivariate Data Analysis

(3 semester hours)
Prerequisites: Admission to the Data Sciences Doctoral Program
Description: This course provides hands-on experience in understanding when and how to utilize the primary multivariate methods Data Reduction techniques, including Principal Components Analysis and Exploratory and Confirmatory Factor Analyses, ANOVA/MANOVA/MANCOVA, Cluster Analysis, Survival Analysis and Decision Trees.