DSE 6111G - Predictive Modeling

Credits: 4

This course offers students an introduction into the basic concepts, practices, and applications of developing forward-looking statistical models. The class will begin with a full background and explanation prescriptive statistics and predictive modeling, followed by a conceptual overview of multivariate statistics and a detailed discussion of commonly used types of multivariate predictive models. The second part of the course focuses on hands-on applications of model fitting and evaluation using programming applications in R or Python. Topic wise, students will develop an understanding of numerous core statistical notions, including variable types, statistical learning, linear regression, classification, non-linear modeling and tree based methods.