Predictive Analytics

Catalog description

This course covers the data analysis techniques used to predict the future in the context of business applications. The techniques include multiple regression, logistic regression and classification trees as well as cluster analysis and factor analysis. The applications include developing effective marketing strategies, predicting employee turnover, auditing, credit approval decisions and others. Students will implement the techniques with a statistical programming language such as R, Python or SAS. Credit Badge: Data Science.