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 2024

Lectures

Section Capacity Class times Instructor(s)
LECTURE B01
(11895)
40
2024-01-08 - 2024-04-12 (MWF)
10:00 - 10:50
BUS 4-09
Primary Instructor: Tito Grillo
LECTURE B02
(17292)
40
2024-01-08 - 2024-04-12 (TR)
11:00 - 12:20
BUS 4-09
Primary Instructor: Tito Grillo