BADM 361

Spring 2022 All Classes

All Classes

Marketing Analytics

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Credit: 3 hours.

The recent growth in structured and unstructured data combined with sophisticated techniques for leveraging these data for decision-making, creates huge opportunities for marketers. This course introduces key concepts in marketing analytics and shows how analytics can help solve real-world marketing problems. Covered topics include data scraping, text analysis, data visualization, machine learning, causal and predictive models. Each technique is implemented using "mini cases" in R programming with unique datasets from a variety of marketing contexts.

Prerequisite: BADM 210 and BADM 211.

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BADM 361 class schedule data for spring 2022
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	71722	Lecture-Discussion	A	11:00AM -12:20PM	TR	Business Instructional Fac	Narang, U	Part of Term: 1 Date Range: 01/18/22-05/04/22 Section Info: This course will open to all students in the Gies College of Business on Monday, November 15, 2021 at approximately 10:00 a.m. There are currently 10 reserved seats for Gies College of Business international exchange students; any unused seats will be released to students meeting the restrictions on Friday, January 21, 2022 at approximately 10:00 a.m. Any exchange students outside of Gies College of Business that register will be removed from the course. Restriction(s): Restricted to Accountancy or Finance or Marketing or Information Sys & Info Tech or Supply Chain Management or Business Process Management or Management or Information Systems or Operations Management or STR BUS DEV & Entrepreneurship major(s) or minor(s). Restricted to students with Junior or Senior class standing.