Data Viz & Prescript Analytics
Durham
Paul College of Business&Econ :: Decision Sciences
Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:
12
CRN: 53460
CRN: 53460
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
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Instructors: Roger Grinde
Times & Locations
Start Date | End Date | Days | Time | Location | |
---|---|---|---|---|---|
1/23/2024 | 5/6/2024 | MW | 2:10pm - 3:30pm | PCBE G59 | |
Final Exam | 5/10/2024 | 5/10/2024 | F | 1:00pm - 3:00pm | PCBE G59 |