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|OPIM 652 - Data Mining|
The objective of this course is to develop a framework for analyzing key problems in business analytics using the powerful and advanced tools of computer-based statistical analysis and the related concepts of data mining. This course will also (1) provide both a theoretical and practical understanding of the key methods of classification, prediction, reduction and exploration which are at the heart of data mining; (2) provide a business decision-making context for these methods; and (3) using real business cases, illustrate the application and interpretation of these methods. In short, this class will be data structure and analysis with advanced quantitative methods. No knowledge of database management will be assumed.
1.500 Credit hours
1.500 Lecture hours
Levels: MN or MC Graduate
Schedule Types: Lecture
Operations & Information Mgmt Department
Must be enrolled in one of the following Degrees:
Master of Business Admin.
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