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MDST Uber Data Analysis Project, Winter 2026.

"Given the time and day, how many drivers should Uber expect to need and how confident are we in that recommendation?”

UPCOMING WEEK'S ABSENCE FORM: 2/15, due Friday 2/13, 11:59PM

Anonymous Feedback Form: Form

Week Slides Topics Links
1 [1/25] Slides Intro + Pandas Review Pandas Cheat Sheet
2 [2/1] Slides Feature Engineering + Web Scraping Feature Engineering, Web Tutorial
3 [2/8] Slides EDA Matplotlib Cheat, Numpy Cheat
4 [2/15] Slides Statistical Analysis Scipy.stats Docs
5 [2/22] - Mid-Expo + Forecasting -
(BREAK) [2/29] - - -
(BREAK) [3/8] - - -
6 [3/15] - ML -
7 [3/22] - ML (Cont) -
8 [3/29] - Mock Consulting Prep -
TBD - Presentations + Special Topics -
TBD - - -

Project Leads

Kenny Li | LinkedIn

Angela Zhou | LinkedIn

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