Probability & Stat for Data Sc
6:10pm–7:25pm
SCHERMERHORN HALL SCH 614
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
This course covers the following topics: Fundamentals of probability theory and statistical inference used in data science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference; point and confidence interval estimation, hypothesis tests, linear regression.
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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
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Flat map — motion reduced