Data Viz & Prescript Analytics
Durham
Paul College of Business&Econ::Decision Sciences
Credits: 4.0
Class Size: 30
Term:
Fall 2024
-
Full Term (08/26/2024
-
12/09/2024)
CRN:
12965
Grade Mode:
Letter Grading
The course focuses on Descriptive and Prescriptive Analytics. Students gain modeling and data analysis and visualization skills necessary to address a wide variety of business problems. In Descriptive Analytics, students learn principles of data visualization, data cleanup and wrangling, advanced data analysis and visualization tools, and dashboard design. In Prescriptive Analytics, students learn advanced spreadsheet modeling/programming, formulating and solving a variety of optimization problems, and performing sensitivity analysis.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): ADMN 410 with minimum grade of C- and ADMN 510 with minimum grade of C-
Equivalent(s):
DS 766
Classes not allowed in section: Freshman
Instructors:
Roger Grinde
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 8/26/2024 | 12/9/2024 | MW | 2:10pm - 3:30pm | PCBE 235 |
| Final Exam12/13/2024 | 12/13/2024 | F | 3:30pm - 5:30pm | PCBE 175 |
