Business Analytics Spreadsheet Modeling

Catalog description

This course covers examples of descriptive analytics, predictive analytics, and prescriptive analytics. Topics include, data identification, preparation and representation; risk analysis and simulation; project management; decision analysis; and optimization. The course provides a balance between understanding processes for analytical modeling and developing the tools to represent and solve decision making problems. It introduces students to the fundamental concepts and tools needed to understand the emerging role of business analytics in organizations and shows students how to apply basic business analytics tools in a spreadsheet environment, and how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decision. Emphasis is placed on applications, concepts and interpretation of results. Prerequisites: BUAN 227 .