A focused Python data-analytics portfolio organized into notes, exercises, quizzes, and projects — NumPy, Matplotlib, and Pandas. Browsable here on GitHub, and published as a polished site at ijk37.com/data-analytics-python.
Tip
New to Python? Start with the companion Python Fundamentals course first — this course assumes that material.
| Section | What's inside |
|---|---|
| 📘 Notes | 8 topic lessons across 3 chapters, each linking to its matching exercise |
| ✏️ Exercises | Focused practice sets that mirror the notes, with solutions and alternatives |
| 🧪 Quiz Hub | Interactive multiple-choice quizzes for every chapter, plus 3 cumulative mixed quizzes |
| 🛠️ Projects | 9 hands-on projects, each with commented source and its own README |
| 📦 Resources | Original lecture material the course was built from |
data-analytics-python/
├── 01-notes/ — Topic notes (Markdown), one file per concept
├── 02-exercises/ — Practice exercises with solutions, mirroring notes order
├── 03-quiz/ — Static interactive quiz app (HTML + JS, no server)
├── 04-projects/ — 9 standalone projects applying multiple concepts
└── 05-resources/ — Original lecture slides (kept local)
Each notes file links to its matching exercise file at the bottom; each exercise file links back to its notes file at the top.
| # | Chapter | Focus |
|---|---|---|
| 01 | NumPy | ndarray creation, vectorized ops, indexing, 2D arrays, statistics |
| 02 | Matplotlib | Line, scatter, bar, and histogram plots; subplots; saving figures |
| 03 | Pandas | Series/DataFrame, filtering, groupby, merge, pivot tables |
- Read a notes file in
01-notes/for theory and reference code. - Open the matching exercise in
02-exercises/— attempt each question before revealing the solution. - Test yourself in the Quiz Hub — a fresh random set each attempt, re-drawn on retry.
- Build a project in
04-projects/to apply several concepts at once.
This repository is published with Material for MkDocs and deployed to GitHub Pages at ijk37.com/data-analytics-python. The same Markdown files render both on GitHub and on the site. See assets/site_design.md for how the dual repo-and-site setup works.
Built with 💙🧡 — deep Python blue
#1B4F72and amber#D9A521.