Foundations of Predictive Analytics and Decision Modeling
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Overview
Description
Description Students will develop quantitative reasoning skills necessary for success in business. Proficiency in the foundations of predictive analytics and decision modeling is the central focus. Students will learn to model a wide range of business decisions through case studies, data analysis, spreadsheet modeling, and interpretation of business significance. Students will further develop their statistical thinking skills through the study of predictive modeling for business using multiple regression. Variation, interpretation of models and model output, model building with spreadsheets, and regression assumption checking are stressed. Throughout the course, students will build quantitative literacy skills through writing about analytics, model building, and interpreting quantitative information to understand and use data in managerial decisions.
Career
Undergraduate
Credits
Value
3
Max
3
Min
3
Course Count
1
Number Of Credits
3
Number Of Repeats
1
Repeatable
No
Contact Use
Yes
Generate Attendance
No
Left Use
Yes
Present Use
Yes
Reason Use
Yes
Tardy Use
Yes
Template Override
No
Time Use
Yes
Attendance Type
Class Meeting
Auto Create
No
Code
LEC
Instructor Contact Hours
3
Default Section Size
30
Final Exam Type
Yes
Include in Dynamic Date Calc
No
Instruction Mode
In Person
LMS File Type
Blackboard CourseInfo 4
Name
Lecture
OEE Workload Hours
0
Optional Component
No
Preferred Room Features
Academic Scheduling
Workload Hours
3