ECIS 567 - Data Mining for Business Intelligence

This course introduces a set of technologies to provide business intelligence by analyzing massive amounts of complex data to find patterns that can be used to guide decision making and predict future behavior, such as the likely buying habits of customers. The areas where data mining can be used include marketing, finance, auditing, security, and others. Topics include data warehousing, online analytical processing (OLAP), and data mining. Students are expected to analyze real-world data in business for intelligent decision making.

Academic Level: Graduate
Instructional Method: Lecture/Laboratory
School: Albers School of Business & Economics