Introduces students to programming and data analysis through hands-on case studies using consumer data. Explores techniques to acquire, transform, visualize, and analyze consumer data using Python, with no prior experience required. Emphasizes practical applications and the interpretation of consumer data in the context of marketing decision making.
Offering history
Term
Sections
Enrolled
Capacity
Full
Open seats/section
Fall 2025
1
23
40
57%
17.0
Spring 2026
1
18
40
45%
22.0
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 56% · W 44% · Th 0% · F 0%
Common patterns: T (56% of sections), W (44% of sections)
— in patterns, R means Thursday