|COURSE TITLE||Business Analytics|
|SCHOOL||Lubin School of Business|
|PREREQUISITE||MAT 104 Minimum Grade of D and ( MAT 117 Minimum Grade of D or MAT 134 Minimum Grade of D or MAT 234 Minimum Grade of D) and ( CIS 101 Minimum Grade of D or TS 105 Minimum Grade of D)|
Course Description: This course acquaints the student with the business analytics: use of data and quantitative models to aid in business decision making. The course covers all three major areas of analytics: descriptive, predictive and prescriptive. In addition, students will learn tools for effective project management. The topics include descriptive statistics, pivot table, data visualization, regression, forecasting, linear optimization, Monte Carlo simulation, and project scheduling. Emphasis is on (1) data analysis and modeling of business problems, (2), implementation of the models on Microsoft Excel, and (3) interpretation and effective communication of the results.
Course Rotation: Fall, Spring, and Summer.
|SECTION TITLE:||Business Analytics|
|SECTION COMMENTS:||This is an online section that requires student’s participation and attendance online via Blackboard.|
|Must be enrolled in one of the following Classifications: Junior Athlete & Honors , Junior Athlete , Junior Honors , Junior , Junior Priority Reg , Senior Honors Athlete , Senior Athlete , Senior Honors , Senior , Senior Priority Reg , Upper Sophomore Honors Athlete , Upper Sophomore , Upper Sophomore Athlete , Upper Sophomore Honors , Sophomore Honors Athlete , Upper Sophomore Priority Reg , Sophomore Athlete , Sophomore Honors , Sophomore , Sophomore Priority Reg|
|BlackBoard||01/02/2019 - 01/31/2019|