Advanced Data Analysis

Catalog description

Prerequisites: SCMA 5300 and admittance into the PhD Program, or consent of instructor. This course provides a study of multivariate analytical techniques and their application to the analysis of business systems. Topics may include, but are not limited to, the construction and adaptation of statistical and machine learning models and extrapolative techniques to accommodate factor interactions, nonlinearities, and periodic effects. Methodologies include multiple regression, general linear model, time series analysis, neural networks, and Bayesian methods, among others.