BDA 620 Predictive Modeling

This course covers multivariate statistics that focus on the use of statistical methods to explore and discover information in large business datasets. Topics will be drawn from clustering and discriminate analysis for classification, principle components analysis for data exploration and variable reduction, factor analysis for identifying latent variables, and other traditional multivariate topics. Applications of these methodologies range from market analytics to finance and health informatics. A central objective of the course is for participants to be able to determine the appropriate multivariate methodology based on the research objective and available data, carry out analysis, and interpret results. Makes use of statistical software packages. Prerequisite: BDA 500.

Credits

3