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Intro to Data Management
Course: DS5110 · Instructor: Bemis, Kylie · Term: Spring 2025
Community Ratings
n=13
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Course Description
Introduces students to the core tasks in data science, including data collection, storage, tidying, transformation, processing, management, and modeling for the purpose of extracting knowledge from raw observations. Programming is a cross-cutting aspect of the course. Offers students an opportunity to gain experience with data science tasks and tools through short assignments. Includes a term project based on real-world data.
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Teaching Style Radar
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Quick Takeaways
- ✅Best for: Clarity and Fairness stand out (Strong, Strong).
- ⚠️Watch out: No notable concerns in the five dimensions.
- 💡Key insight: No strong dimension pattern detected.
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Strengths & Areas for attention
- ✅Strong: Overall (4.8)
- ✅Strong: Clarity (4.7)
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Developer details
offering_id: 0256ee41-797b-4c4f-9ff4-52bec906257e
offering_key: DS5110_Spring_2025
created_at: 2026-01-26T01:49:51.62813+00:00
agg_updated: 2026-01-26T01:16:35.284805+00:00
enrich_model: none
pipeline: enrich_gemini_v5_profile