: Teaches effective data visualization techniques to communicate technical insights to non-technical stakeholders.
: Breaks down complex supervised and unsupervised learning algorithms (like clustering and regression).
Case studies in spatial data, crime analysis, e-commerce, and journalism. 🔗 Quick Reference Resources View complete chapter layouts on the Wiley Product Page. Read a summary breakdown on the O'Reilly Learning Platform .
The book is structured to guide readers through the entire data lifecycle. Below are the most useful features and content highlights of this edition. 🚀 Key Features
Grab key summaries and quick formulas from the official Dummies Cheat Sheet . Data Science For Dummies, 2nd Edition | Wiley