RSAN 160
Predictive Analytics and Machine Learning
This course will focus on the fundamentals of predictive analytics as it relates to improving business performance. The course will cover predictive models, key modeling techniques, scoring, non-parametric regression and classification, principal components analysis and dimension reduction, time series, quality control methods, multiple predictor variables, and decision trees. The course will utilize best practices and case studies to illustrate how predictive analytics can facilitate educated decision-making to reduce costs, increase revenues, and provide competitive advantage across a variety of industries.
- Course prerequisites
- Buy your textbooks and other required course materials online from the Brandeis Bookstore or visit the bookstore in the Shapiro Campus Center.