Business Analytics II. 3 credits

Catalog description

Introduces modeling relationships contained in data and linear models to make predictions in business. Topics include estimation, hypotheses testing, statistical inference, analysis of variance and linear regression techniques. Fundamentals of linear programming to solve optimization problems in business. Apply analytical tools to gain insights from real-life datasets. Hands-on experience and application of the methods to data sets using spreadsheet software. A third attempt will require academic advisor approval. Offered by Costello College of Business . Limited to two attempts.