BADM 361

spring 2022
 
All Classes

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.

Closed
Section Status Closed
Open
Section Status Open
Pending
Section Status Pending
Open (Restricted)
Section Status Open (Restricted)
Unknown
Section Status Unknown
Detail Status CRN Type Section Time Day Location Instructor