STAT 5700Section 002Fall 20260 credits
Statistics - Grad Recitat
Call number
Wednesday
4:10pm–5:25pm
FAYERWEATHER FAY 310
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
This course is an introduction to probability and statistics for data science. Topics include probability theory, probability distributions, simulations, parameters estima- tion, hypothesis testing, simple regression. Python examples will be used throughout the course for illustrations.
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Instructor quality
n=3, 2023–2024
Aggregated across every course Dobrin Marchev has taught.
Teaching quality
2.8 / 5
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Difficulty
4.0 / 5 · Hard
Overall sentiment
Positive
In your week
Wed2
Where it meets
Flat map — motion reduced