Students are introduced to the scientific process of transforming data into insight for making better marketing decisions. Topics include: data-driven problem solving; design of surveys, focus groups, and experiments; analytical techniques for primary, secondary, and qualitative data; and machine learning basics. The course is taught as an end-to-end process, starting from problem framing, data collection, method selection, model building, and deployment. Applies Excel and open-source data analysis software. Advanced students can build on this course to prepare for taking the INFORMS CAP (Certified Analytics Professional) Exam. Prerequisite: MARK 301.
| Section | Capacity | Dates + Times | Instructor(s) |
|---|---|---|---|
|
LECTURE B01
(42494) |
40 |
2023-01-05 - 2023-04-12
MWF 10:00 - 10:50 (BUS 4-09)
|
Primary Instructor: Tito Grillo
|
|
LECTURE B02
(49387) |
40 |
2023-01-05 - 2023-04-12
TH 11:00 - 12:20 (BUS 4-09)
|
Primary Instructor: Tito Grillo
|
| Section | Capacity | Dates + Times | Instructor(s) |
|---|---|---|---|
|
LECTURE A01
(60079) |
40 |
2023-05-08 - 2023-06-14
MW 13:00 - 15:50 (BUS B-05)
|
|