Data Mining is the process of extracting useful information from data sets. It involves exploring and analyzing data sets to discover meaningful and valuable information. This course covers major data mining techniques including but not limited to data visualization, association analysis, classification, clustering, trend analysis, prediction, neural networks, text and web mining, and their applications in business. Various data analysis and data mining tools will be used to create analytical applications and achieve data mining goals.
|Number of credit hours per week||3|
|Presence of students||On-campus|
Prerequisite: Business Majors: Sophomore GPA Requirement and IS 3100; Non-business Majors: Math 1107 (or equivalent) and permission of the Coles College of Business