MISM 6205 — Data Wrangling for Business
3 semester hoursGraduateLectureusually offered: fall, springtypical days: MBostonOnlineOnlineTraditional
Covers data wrangling principles and techniques for business. Key topics include data extraction, profiling, cleansing, integration, aggregation, transformation, and automating data processes for business purposes. Applies principles and techniques using data transformation tools, programming languages, and data process automation tools. Emphasizes embedding appropriate communication mechanisms for collaboration for identifying, solving, and resolving challenges revealed in datasets and business processes. Offers students an opportunity to learn data wrangling techniques to identify, solve, and resolve real-world data challenges, creating business value in today’s disparate computing and dynamic business environment.
Prerequisites
- MISM 6202 (min C-)
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 4 | 175 | 159 | 110% | 0.0 |
| Spring 2024 | 1 | 17 | 40 | 43% | 23.0 |
| Fall 2024 | 3 | 107 | 120 | 89% | 4.3 |
| Spring 2025 | 1 | 16 | 40 | 40% | 24.0 |
| Fall 2025 | 3 | 91 | 119 | 76% | 9.3 |
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 82% · T 0% · W 0% · Th 10% · F 0%
Common patterns: M (82% of sections), R (10% of sections), async (8% of sections) — in patterns, R means Thursday
Professors
Fall
- Tareq Nasralah (77% of students) · reviews
- Carol Lee (23% of students) · reviews
Spring
- Tareq Nasralah (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 6205 in their prerequisites.
Links
Official catalog (MISM course descriptions) · Student reviews on RateMyHusky · All MISM courses · Plan it at numap.app
More
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"retired": true,
"retiredSince": "2026-09-03"
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