MW 11:40am–12:55pm · MW 1:10pm–2:25pm
2 distinct times across 2 sections.
1 of 2 sections have room
Description
This course and its co-requisite lab course will introduce students to the methods and tools used in data science to obtain insights from data. Students will learn how to analyze data arising from real-world phenomena while mastering critical concepts and skills in computer programming and statistical inference. The course will involve hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. The course is ideal for students looking to increase their digital literacy and expand their use and understanding of computation and data analysis across disciplines. No prior programming or college-level math background is required
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Sections2
- MW 11:40am–12:55pm · R&D Science Center RDS LL1072 of 45 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- Full
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
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Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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