Standard syllabus
Statistics for data science · Undergraduate · Data science
Learning objectives from the Statistics for data science syllabus, grouped by unit. Click an objective for study materials.
Learning objectives
Click an objective for study materials.
Probability and sampling
- Random variables and common distributions used in DS — Random variables and common distributions used in DS
- Expectation, variance, and independence intuition — Expectation, variance, and independence intuition
- Sampling distributions and the CLT in practice — Sampling distributions and the CLT in practice
- Bootstrap resampling for uncertainty (intro) — Bootstrap resampling for uncertainty (intro)
- Bias vs variance in estimators — Bias vs variance in estimators
Inference
- Point estimates and confidence intervals — Point estimates and confidence intervals
- Hypothesis tests for means and proportions — Hypothesis tests for means and proportions
- p-values, Type I/II errors, and power (intro) — p-values, Type I/II errors, and power (intro)
- Multiple comparisons awareness — Multiple comparisons awareness
- Nonparametric alternatives survey — Nonparametric alternatives survey
Regression for DS
- Simple and multiple linear regression — Simple and multiple linear regression
- Residual diagnostics and influence — Residual diagnostics and influence
- Categorical predictors and interactions (intro) — Categorical predictors and interactions (intro)
- Logistic regression for binary outcomes (intro) — Logistic regression for binary outcomes (intro)
- Model selection pitfalls and overfitting — Model selection pitfalls and overfitting
What each unit includes
Open a unit below for full materials. Typical resources:
- Study guide
- Exam Strategy
- Common Mistakes
- Worksheets
- Word problems
- Mixed Practice
- Multi-Unit Problems
- Review
- Practice test
- Answer key
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- Probability and sampling
Random variables and common distributions used in DS
Coming soon - Inference
Point estimates and confidence intervals
Coming soon - Regression for DS
Simple and multiple linear regression
Coming soon
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$1,162 · Statistics for data science · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.