Probability & Statistics
The planned outline of 15 modules. Lessons are written, run and reviewed before they are published.
Planned outline
- Module 1
Statistical thinking, data and the toolkit
Coming soon - Module 2
Describing data
Coming soon - Module 3
Probability
Coming soon - Module 4
Random variables and distributions
Coming soon - Module 5
Joint distributions, conditional expectation and limit theorems
Coming soon - Module 6
Estimation and confidence intervals
Coming soon - Module 7
Hypothesis testing
Coming soon - Module 8
ANOVA, regression and linear models
Coming soon - Module 9
Bayesian statistics
Coming soon - Module 10
A/B testing and online experiments
Coming soon - Module 11
Causal inference: confounding, DAGs and adjustment
Coming soon - Module 12
Quasi-experiments: DiD, IV, RDD and synthetic control
Coming soon - Module 13
Statistics for machine learning and data science
Coming soon - Module 14
Time series: ARIMA, exponential smoothing and forecasts
Coming soon - Module 15
GATE DA probability and statistics
India-specific Coming soon
Related tools
A/B Test Sample Size Calculator Visitors per variant and days to run — worked out before the test starts. A/B Test Significance Calculator Is the difference real? p-value, uplift and its interval — conversions or averages. Scatter Plot Maker Scatter and bubble charts with trendlines, their equations and R².
Official documentation
- docs.scipy.org/doc/scipy/reference/stats.html (docs.scipy.org)
- www.itl.nist.gov/div898/handbook (itl.nist.gov)
- gate2027.iitm.ac.in/static/doc/GATE2027_Syllabus/DA_GATE2027_Syllabus.pdf (gate2027.iitm.ac.in)
More in Data and databases
- Data Analysis with Python (pandas, polars, DuckDB) (coming soon)
- Excel & Google Sheets (coming soon)
- PostgreSQL in Depth (coming soon)
- MySQL & MariaDB in Depth (coming soon)
- All Data tracks
- How we make lessons