Introduction to Business Analytics

Catalog description

Introduces business analytics concepts and tools that are used in various business functions. Consists of two distinct parts: predictive and prescriptive modeling/analytics. The predictive analytics section covers the use of statistical data in order to understand and solve business problems. Subjects include a review of descriptive statistics tools, hypothesis testing, ANOVA and simple/multiple regression analysis. Statistical data-mining models are also discussed. Prescriptive analytics section covers deterministic optimization models. Statistical software and spreadsheet optimization are introduced. May not be taken for credit by students who received credit for: BUS 322 . If a student takes both BUS 322 and BUS 324, only BUS 324 will count for credit. Enrollment Restrictions: Enrollment restricted to students who have completed the lower-division pre-business core requirement (major status in Business Administration, i.e., attained business status).