Fundamental Analytics for Business Decision-Making

Catalog description

Students will learn to apply analytics to solve business problems using computer-based tools. This course focuses on the fundamentals of business analytics and decision-making using approaches that would be applicable in a variety of business contexts and using popular business analytics software packages. Topics include analytical methods, tools, and applications related to making best decisions (optimization), making predictions (forecasting) and developing causal models (regression) in business. Additional data reduction techniques such as cluster analysis and factor analysis are also discussed. Prerequisite(s): MATH 1401 >= C and MINF 2650 >= C Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: Normal, Audit Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.