Standard syllabus
Statistics for data science · Undergraduate · Data science
Topics
Probability and sampling
- Random variables and common distributions used in DS
- Expectation, variance, and independence intuition
- Sampling distributions and the CLT in practice
- Bootstrap resampling for uncertainty (intro)
- Bias vs variance in estimators
- Simulation for understanding random processes
Inference
- Point estimates and confidence intervals
- Hypothesis tests for means and proportions
- p-values, Type I/II errors, and power (intro)
- Multiple comparisons awareness
- Nonparametric alternatives survey
- Connecting tests to business or science questions
Regression for DS
- Simple and multiple linear regression
- Residual diagnostics and influence
- Categorical predictors and interactions (intro)
- Logistic regression for binary outcomes (intro)
- Model selection pitfalls and overfitting
- Interpreting coefficients for stakeholders
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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