MISM 6405 — Data Wrangling for Business
2 semester hoursGraduateLectureusually offered: falltypical days: W/FOakland, CATraditional
Covers data wrangling principles and techniques for business. Key topics include data extraction, profiling, cleansing, integration, transformation, and automating data processes for business purposes. Applies principles and techniques using data transformation tools, programming languages, and data process automation tools. Offers students an opportunity to learn how to embed appropriate communication mechanisms for collaboration to identify and resolve real-world data challenges revealed in datasets and business processes, creating business value in today’s disparate computing and dynamic business environment.
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 0% · W 100% · Th 0% · F 100%
Common patterns: WF (100% of sections) — in patterns, R means Thursday
Professors
Fall
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list MISM 6405 in their prerequisites.
Links
Official catalog (MISM course descriptions) · Student reviews on RateMyHusky · All MISM courses · Plan it at numap.app