DD 621 - Predictive Analytics

Credits: 4 credits
Introduces students to predictive analytics and the broad set of business applications these predictive tools support. Students use data mining platforms to build predictive models that address a variety of sales and marketing needs, such as identifying the best targets for campaigns, highlighting customers most at risk of churning, and optimizing the allocation of marketing spend across media and channels. Several different modeling techniques are covered in the course including linear regression, logistic regression, and decision tree analysis.