ITEC 6730 Decision & Predictive Analytics
This course focuses on the foundations of predictive modeling and introduces the conceptual foundations of regression and multivariate analysis, exploratory data analysis, model identification, and model validation. Students will learn the differences between statistical models for statistical inference and predictive modeling. The topics include exploratory data analysis, statistical graphics, linear regression, automated variable selection, principal components analysis, exploratory factor analysis, cluster analysis, path analysis, and time series analysis.
Lecture Hours
3
Lab Hours
0