[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzk4MTU","title","Applied Statistics for Data Science","state","published","contactAuthorMethod","email","aboutText","

Applied Statistics for Data Science is a practical guide to the statistical foundations every analyst and researcher needs to work confidently with real‑world data.

Instead of overwhelming readers with theory, this book builds understanding through visual intuition, simulation and accompanying hands‑on Python notebooks.

For details, check out my new site at: qikly.com

What You Will Learn

- Build a strong foundation in probability models, distribution families, and statistical intuition

- Understand sampling, estimators, and the core ideas behind uncertainty and variability

- Perform hypothesis tests, group comparisons, and regression diagnostics to support sound statistical reasoning

- Design experiments, sampling strategies, and resampling‑based inference workflows

- Detect and monitor data drift using both parametric and nonparametric methods

- Analyze survival curves, reliability patterns and time‑to‑event behavior in dynamic systems

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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