University of Calgary

DATA 611 - Predictive Analytics - Winter 2021

Overview of the basic concepts and techniques in predictive analytics as well as their applications for solving real-life business problems in marketing, finance, and other areas. Techniques covered in this course include: decision trees, classification rules, association rules, clustering, support vector machines, instance-based learning. Examples and cases are discussed to gain hands-on experience.
This course may not be repeated for credit.

Hours

  • H(3-0)

Prerequisite(s)

  • Data Science 601, 602, 603, 604 and admission to the Graduate Diploma in Data Science and Analytics, or the Master of Data Science and Analytics.

Sections

This course will be offered next in Winter 2022.
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