MSBA 326 Machine Learning for Predictive Analytics
Designed to teach students the key concepts of predictive analytics used for deriving value from business data. Students will learn the concepts and techniques of cleaning and preparing data. They will gain an understanding of the algorithms of machine learning and learn to build predictive models using Python & SPSS Modeler. Topics include supervised learning, forecasting numeric values with regression, unsupervised learning, and additional tools to simplify noise from data. The course will also introduce optimization or prescriptive analytics, which gives options for the question “What do we do now?” Prerequisite(s): MSBA 300 and MSBA 320 .
View the Summer 2020 course schedules: