STEM / applied
Statistics for data science · Undergraduate · Data science
Topics
Computational stats
- Implementing summaries and tests in Python or R
- Monte Carlo experiments for intuition
- Visualizing sampling variability
- A/B test design basics and peeking risks
- Reporting effect sizes with intervals
- Reproducible statistical notebooks
Data-science bridges
- From EDA to confirmatory analysis
- Feature noise and measurement error awareness
- Causal language caution vs predictive goals
- Survey of GLMs beyond logistic (optional)
- Critiquing published analyses
- Capstone: statistical report on a real dataset
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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