This book is a clear and concise introduction to data mining, analysis, and visualization. It covers the basics of data mining techniques such as clustering, decision trees, and Neural Networks. Additionally, it dives into ways to improve your visualizations for maximum impact. If you’re looking for an easy-to-read guide on how to get started with data analytics, this is the perfect resource!
For who is this book for ?
This book is for anyone who wants to learn how to visualize data effectively. It covers the basics of data mining and provides examples of how to improve your visualizations.
- The author does a great job of introducing data mining techniques
- The book is easy to read and follow
- It provides some helpful tips for improving visualization
- The book is a little short on detail in some areas
- Some of the examples are slightly dated
- It does not cover more advanced techniques
Learn more about the author
Alex Campbell is a data visualization expert and instructor at UC Berkeley. He has over 15 years of experience in the field, and his work has been featured by outlets such as The New York Times, Forbes, and Bloomberg.
“This is a great book for data analytics beginners. It provides an overview of key techniques and explains how to improve your visualizations for maximum impact.”
“This book is a great resource for anyone looking to get started with data mining and visualization. Alex Campbell provides clear explanations of the various techniques and methods, as well as helpful advice on how to create impactful visualizations. Highly recommended!”
“This is an excellent guide if you want to get started in data visualization. Campbell does a great job of introducing different techniques and how they can be used to improve your visualizations.”
“This book is a great introduction to data mining and visualization. Alex Campbell does an excellent job of explaining complex topics in an easy-to-understand way. I would definitely recommend this book for anyone looking to get started with data analytics.”