2015-2016 University Catalog 
  
2015-2016 University Catalog

BUS 310 - Business Analytics II

Credits: 3
Not Repeatable
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.

Prerequisite(s): Grade of C or higher in BUS 210. Degree status. Prerequisite enforced by registration system.

Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Fall, Summer, Spring