M 9:00am–11:30am · M 4:10pm–6:40pm
2 distinct times across 3 sections.
3 of 3 sections have room
Description
Teams of students work on real-world projects in analytics. Focus on three aspects of analytics: identifying client analytical requirements; assembling, cleaning and organizing data; identifying and implementing analytical techniques (e.g., statistics and/or machine learning); and delivering results in a client-friendly format. Each project has a defined goal and pre-identified data to analyze in one semester. Client facing class. Class requires 10 hours of time per week and possible client visits on Fridays
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Sections3
- 30 of 100 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Michael Robbins · Robert W Kramer
M 4:10pm–6:40pm · FAYERWEATHER FAY 31036 of 90 seats leftSeat data provenance: Directory as of August 23, 2026 at 4:00 AM
- 99 of 99 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
- 3 credits
Reported workload
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