W 2:40pm–3:55pm · W 4:10pm–5:25pm · Th 9:40am–11:00am +1 more
4 distinct times across 4 sections.
4 of 4 sections have room
Description
This is the co-requisite lab to COMS BC 1016 (Introduction to Computational Thinking and Data Science) This 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. This class 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 math background is required
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Sections4
- 13 of 22 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- W 4:10pm–5:25pm · MILSTEIN CENTER MLC 51619 of 23 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- 22 of 22 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- Th 11:20am–12:50pm · MILSTEIN CENTER MLC 51622 of 23 seats left
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
- 1 credit
Reported workload
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