MISM 6402 — Foundations of Data Analysis for Business
2 semester hoursGraduateLectureusually offered: falltypical days: T/FOakland, CATraditional
Covers basic principles of descriptive and predictive analytics. Presents statistical models and techniques used for descriptive statistics; 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 datasets and summarizing results.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2025 | 1 | 6 | 15 | 40% | 9.0 |
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 100% · W 0% · Th 0% · F 100%
Common patterns: TF (100% of sections) — in patterns, R means Thursday
Professors
Fall
- Carol Theokary (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list MISM 6402 in their prerequisites.
Links
Official catalog (MISM course descriptions) · Student reviews on RateMyHusky · All MISM courses · Plan it at numap.app