MKTG 2602 — Quantitative Analysis of Consumer Data

4 semester hoursUndergraduateLectureusually offered: fall, springtypical days: W/FBostonTraditional

Introduces the fundamental techniques of quantitative data analysis and visualization in the marketing context. Emphasizes real-world consumer data and applications using R. Offers students an opportunity to learn a wide variety of foundational data-driven inference methods and progress to more advanced coursework delving into analyzing and understanding complex behavioral data. No previous experience in data analysis or programming required.

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 20231324080%8.0
Spring 20242657093%2.5
Summer A 20241214053%19.0
Fall 202414040100%0.0
Spring 20252758094%2.5
Summer A 20251334083%7.0
Fall 202527575100%0.0
Spring 20262768095%2.0

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 13% · T 31% · W 66% · Th 5% · F 71%

Common patterns: WF (53% of sections), TF (18% of sections), T (9% of sections), M (8% of sections), W (7% of sections), MTWR (5% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Summer A

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

MKTG 3402, MKTG 4510

Courses that list MKTG 2602 in their prerequisites.

Links

Official catalog (MKTG course descriptions) · Student reviews on RateMyHusky · All MKTG courses · Plan it at numap.app