MISM 6202 — Foundations of Data Analysis for Business

3 semester hoursGraduateLectureusually offered: fall, springtypical days: TBostonOnlineOnlineTraditional

Covers basic principles and techniques of descriptive and predictive analytics. What are the essential data analysis concepts underlying business analytics? Topics include descriptive statistics, data visualization, probability and modeling uncertainty, sampling, estimation and confidence intervals, hypothesis testing, analysis of variance, simple and multiple regression analysis, time-series analysis, and forecasting. Emphasizes an understanding of how these tools can support decision making and analytics initiatives in a business context with real-world examples and case studies. Uses various software packages for analyzing data sets and creating visualizations.This course is only available to students who matriculated in a Northeastern program prior to Fall 2026 that requires completion of this course.

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Summer B 20231275054%23.0
Fall 2023518320191%3.6
Spring 2024112814091%12.0
Fall 2024413220066%17.0
Spring 2025110714076%33.0
Fall 202539315062%19.0
Spring 202617614054%64.0

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 52% · W 0% · Th 0% · F 0%

Common patterns: T (52% of sections), async (48% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Summer B

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

Unlocks

MISM 6205, MISM 6206

Courses that list MISM 6202 in their prerequisites.

Links

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