Data Science

Welcome folks 🎉 — this is your single-pane-of-glass for everything Data Science. The content below is organized to help you learn fast, revise faster, and answer Top Tech Company Interviews confidently. Use the left sidebar to browse full notes; use the quick links here to jump straight into the most-used sections.

✨ Why this landing page exists

  1. Reduce friction — everything you need to review or teach is one click away.
  2. Study friendly — flashcards, short-theories, deep Q&A, formulas and cheat-sheets are present inside each page.
  3. Interview ready — each topic includes Q&A blocks formatted as collapsible details (ideal for rapid mocks for Top Tech Company Interviews).

🔎 Quick Navigation

  • Use the cards above for direct jumps.
  • Use the sidebar to see the full table of contents and track progress across modules.
  • Use your browser’s Find (Ctrl/Cmd+F) inside any page to jump to formulas, recipes, or interview Q&A quickly.

🧰 Study Workflows (Pick one)

Fast Revision (10–20 min)
  1. Open Introduction → scan flashcards and key metrics.
  2. Open Exploratory Data Analysis → review quick diagnostics and red flags.
  3. Finish with Cheatsheet at bottom of any page for last-minute recall.
Deep-Dive (60–90 min)
  1. Read Short Theories for the topic.
  2. Expand 3–4 Q&A blocks and take structured notes (TL;DR / Math / Tradeoffs).
  3. Re-implement one diagnostic or feature pipeline on a small dataset.
Interview Simulation
  1. Pick a problem from Introduction (e.g., reduce churn by 2%).
  2. Use Data Wrangling, Feature Engineering and Modeling & Validation to design an answer; rehearse aloud using metric-driven framing.
  3. Use Online Experimentation and Causal Inference pages to finish with an evaluation plan.

📈 Progress & Tips

  • Tip: After reading a page, mark it Done in your personal tracker and note one action (e.g., “add PSI check to pipeline”).
  • Tip: For reproducible features, check Feature Engineering → Feature registry & hashing sections.
  • Tip: Use Online Experimentation notes when planning A/B experiments — contains power/sample tables and ramp strategies.

🧾 Printable Cheatsheet

If you want a printable revision sheet, open any topic and use Print → Save as PDF. For best results, print the Cheatsheet sections only (they sit near the bottom of each topic page).

🙋‍♀️ Contribute / Edit

Want to update a note, add an example, or include a new page? Drop the new Markdown in /content/snapshots/data-science/ and use the same cards shortcodes — this landing page will auto-link if the url matches.

❤️ Quick CTA

Start now: Click the “🧭 Start Here: Introduction” card above — 3 minutes there will give you the map of the whole Data Science curriculum and how to position answers for Top Tech Company Interviews.

Made with ❤️ for data scientists who like tidy systems, reproducible pipelines, and fast recall.