Stat Thinking for Data Sc
Part of STAT 1010 Statistical Thinking For Data Science
4:10pm–5:25pm
HAMILTON HALL HAM 602
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
CC/GS: Partial Fulfillment of Science Requirement This course introduces core ideas in probability and statistics with a focus on building a foundation for data science. Topics include probability theory basics, common probability distributions, sampling and estimation, confidence intervals and hypothesis testing, and simple linear regression, resampling methods, smoothing techniques, and an introduction to the Bayesian inference. The course also offers a brief introduction to programming in R and Python
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Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
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- Credits
- 3 credits
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