Predictive Analytics for Marketing
This course will focus on the marketing applications of predictive analytics. Students should have a basic foundation in marketing, Excel, statistics, and analytics.
What you can learn.
- Explore the tools for predictive analytics, such as Excel and R
- Review data mining, linear regression, and logistic regression
- Learn about decision tree modeling and data clustering
About this course:Predictive analytics is a leading-edge, business intelligence technology that is based on classical statistical techniques. This course focuses on the marketing applications of predictive analytics, specifically focusing on how digital analytics and big data can be used for market predictions. Topics include data mining; tools for predictive analytics, such as Excel and R; linear regression; logistic regression; decision trees modeling; and data clustering. Students are expected to have a basic foundation in marketing, Excel, statistics, and analytics.
Spring 2020 Schedule
These courses meet regularly and are fully online. Click “See Details” below for more information.
Internet access required. Memorial Day, Monday, May 25. Online session.