Course Descriptions and Schedule

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

MSDS 450-DL : Marketing Analytics


Description

This course reviews applications of data science in marketing, the strategic marketing process, and the design of marketing surveys and experiments. Students explore methods for understanding consumer preferences, market segments, and competitive brands and products. Students address problems in new product design and pricing. They study the marketing mix, highlighting the effects of advertising and promotion. And they are introduced to algorithms and methods for digital marketing.

Recommended prior courses: MSDS 410-­DL Supervised Learning Methods and MSDS 411-DL Unsupervised Learning Methods.

Prerequisites: (1) MSDS 420-­DL Database Systems and Data Preparation or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-­DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.

 


Fall 2022
Start/End DatesDay(s)TimeBuildingSection
09/20/22 - 12/10/22Optional Sync Tu
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Chaturvedi, Anil
Online
Open

Winter 2023
Start/End DatesDay(s)TimeBuildingSection
01/03/23 - 03/18/23Optional Sync Tu
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Chaturvedi, Anil
Online
Open

Spring 2023
Start/End DatesDay(s)TimeBuildingSection
03/27/23 - 06/10/23Optional Sync Tu
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Chaturvedi, Anil
Online
Open
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