Independently published, 2025. – 111 p. – ISBN: 9798317027308.
Colorful One-Pagers to Refresh Your Data Science Knowledge.
Say goodbye to passive PowerPoint slides and hello to colorful, hand-drawn examples.
101 Data Science Drawings brings Data Science to life — one marker at a time. This book features over a hundred one-page visual examples, each hand-drawn with colorful markers to break down complex topics in an brief, colorful way.
Perfect for university students cramming for finals, or seasoned data scientists brushing up for interviews, this book turns review time into active learning. Every page is designed to help you recall key ideas quickly, from the fundamentals to more advanced topics — all without the boredom of scrolling through slides.
Inside you’ll find sketches onSupervised Learning: regression, decision trees, random forests, cross-validation...
Unsupervised Learning: clustering, dimensionality reduction, topic modeling...
Statistics & Econometrics: hypothesis testing, causal inference...
SQL: joins, aggregations, window functions...
And much more...
With a refreshingly informal and realistic style, these pages include scribbles, corrections, and the occasional doodle — just like your favorite notebook from class. It’s not meant to be perfect. It’s meant to make you think.
Whether you're a visual learner or just tired of being passive, 101 Data Science Drawings is your go-to companion for active, colorful review.