• Business Analytics

Catalog description

Descriptive and predictive analytics of data and facts to decision-making in business. Techniques of advanced data visualization, use of Excel in analytics, hypothesis testing, and machine learning methods like multiple regression analysis, classification methods and cluster analysis. Uses a variety of business analytics software. Prerequisites: Junior standing; BUS 201M or MAT 332 . Offered: Fall, Spring.