MATH 408 - Advanced Data Analysis

Units: 3
Three hours lecture per week
Prerequisite(s): MATH 398
Introduction to data management and analytics. Bayesian methods, multivariate data, multivariate normal distribution, multivariate regression, principal components, factor, canonical correlation, discriminant analyses, and clustering. Extensive use of appropriate statistical and programming software. Course will be taught in a computer lab.
Graded: Letter Grade