Durham
Paul College of Business&Econ :: Decision Sciences
DS 671 (01) - Data Visualization and Prescriptive Analytics
Data Viz & Prescript Analytics
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:
30
CRN: 12965
CRN: 12965
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.
Prerequisite(s): ADMN 410 with minimum grade of C- and ADMN 510 with minimum grade of C-
Equivalent(s): DS 766
Mutual Exclusion : SC 671
Classes not allowed in section: Freshman
Instructors: Roger Grinde
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
8/26/2024 | 12/9/2024 | MW | 2:10pm - 3:30pm | PCBE 235 |