MARK 312 - Marketing Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

Faculty of Business

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.

Winter Term 2023

Lectures

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

Spring Term 2023

Lectures

Section Capacity Dates + Times Instructor(s)
LECTURE A01
(60079)
40
2023-05-08 - 2023-06-14
MW 13:00 - 15:50 (BUS B-05)