Jun 18, 2024  
2016-2018 Undergraduate Catalog 
2016-2018 Undergraduate Catalog [ARCHIVED CATALOG]

BIA 2200 - Statistics and Predictive Analytics

This course is designed to introduce students to statistics and predictive analytics. Students will be able to identify business use cases for predictive analytics; expand descriptive reports via OLAP and PowerPivot systems and EDA; identify basics of inferential statistics for business problem; use regression as a predictive modeling tool; use other forecasting tools and models to solve business problems; extract data from external sources; apply time series methods, clustering methods, and modern analytics programs such as R. Students should ultimately be able to communicate results of data analysis to business managers. Transfer students can waive BIA 2200 if taken a basic UG course in applied statistics.

Prerequisite: BIA 1800  and sophomore standing.