MW 7:40pm–8:55pm · TTh 8:40am–9:55am
2 distinct times across 2 sections.
1 of 2 sections have room
Prerequisites Prerequisites: STAT GU4204 and GU4205 or the equivalent.
Description
Course Overview: This course introduces Python programming, covering data structures, control-flow, objects, and functions, along with libraries like re, requests, numpy, pandas, scikit-learn, scipy, and more. These skills are applied to real-world data science tasks, including AB testing, data manipulation, modeling, optimization, simulations, and data visualization. Students will develop computational thinking abilities, including problem decomposition, pattern recognition, data representation, abstraction, and algorithm design, through practical exercises
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Sections2
- MW 7:40pm–8:55pm · PUPIN LABORATORIES PUP 30110 of 25 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- TTh 8:40am–9:55am · HAVEMEYER HALL HAV 309Full
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
In your week
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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