Spring Term 2022

Lectures

Section Capacity Dates + Times Instructor(s)
LECTURE A1
(10117)
40
2022-05-09 - 2022-06-15
MW 13:00 - 15:50 (BUS 3-10)
Primary Instructor: Utku Akkoc

Fall Term 2022

MARK 312 - Marketing Analytics
★ 3 (fi 6)(EITHER, 3-0-0)

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.


Lectures

Section Capacity Dates + Times Instructor(s)
LECTURE A01
(30367)
39
2022-09-01 - 2022-12-08
MWF 10:00 - 10:50 (BUS 3-10)
LECTURE A02
(30422)
39
2022-09-01 - 2022-12-08
MWF 13:00 - 13:50 (BUS 1-10)

Winter Term 2023

MARK 312 - Marketing Analytics
★ 3 (fi 6)(EITHER, 3-0-0)

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.


Lectures

Section Capacity Dates + Times Instructor(s)
LECTURE B01
(42494)
40
2023-01-05 - 2023-04-12
MWF 10:00 - 10:50 (HC 1-07)