Aug 06, 2020  
2019-2020 Undergraduate Catalog 
    
2019-2020 Undergraduate Catalog

BIA 2200 - Statistics and Predictive Analytics


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This course is designed to introduce students to statistics and predictive analytics. Students will be able to identify business use cases for predictive analytics, apply and interpret Exploratory Data Analysis output; identify basics of inferential statistics for business problems, 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 and modern analytics programs such as R, and communicate results of data analysis. Transfer students can waive BIA 2200 if they have taken a basic UG course in applied statistics.

Prerequisite: BIA 1800  and sophomore standing.