Further Resources & Reading
Companion resources for 101 Data Science Drawings and broader data science learning.
From the Author
- TikTok: @MinuteData — short visual explainers of data science concepts
- YouTube: @MinuteData — longer walkthroughs and tutorials
Books
- An Introduction to Statistical Learning (ISLR) — James, Witten, Hastie, Tibshirani. The standard accessible introduction to machine learning. Free PDF available at statlearning.com.
- Storytelling with Data — Cole Nussbaumer Knaflic. Practical guide to data visualisation for communication.
- Causal Inference: The Mixtape — Scott Cunningham. Accessible econometrics for causal inference. Free at mixtape.scunning.com.
Online Courses
- Khan Academy: Statistics and Probability — Foundations for beginners
- fast.ai: Practical Deep Learning — Hands-on machine learning with a top-down approach
- Mode SQL Tutorial — Interactive SQL learning from basics to advanced
Tools & Platforms
- Kaggle — Datasets, competitions, and notebooks for practice
- Google Colab — Free hosted Jupyter notebooks with GPU access
- SQLite Online — Browser-based SQL practice environment
- Flourish — No-code data visualisation tool
Related OpenStacks Repositories
| Repository | What You’ll Find |
|---|---|
| EquityStack | Python notebooks for econometrics and causal inference |
| FieldStack | R notebooks for fieldwork, M&E, and evaluation |
| InsightStack | MEL tools, calculators, and documentation templates |
Have a resource to suggest? Open an issue or see CONTRIBUTING.md.