The book uses images of code captured from screens, so the font differences are ridiculous. Even within a single page, everything is chaotic and distracting, and the worst part is that some of it is unreadable… In all my years of school—from elementary through college—this is the worst-edited book I've ever seen. So this is how they publish books… Seriously… Be warned. From now on, I'll avoid this publisher completely.

This is an essential guide to understanding big data analysis systematically and applying it in practice. It explains big data analysis techniques step by step using the R programming language, so beginners can follow along easily. It starts with R installation and basic syntax, then moves gradually into more advanced analysis techniques. Chapter exercises and comprehensive problems are designed to help readers build their skills on their own. The book is printed entirely in color, making the

If you want to prepare for both practical big data analysis and a certification, this is a book to consider. It teaches big data analysis techniques using the R programming language. The content, including R installation and basic syntax, is accessible to beginners. Chapter exercises and comprehensive problems help you build your skills independently. Because the book is printed entirely in color, the code and graphs are more vivid and easier to recognize. It can help with exam preparation as

This practical book helps readers develop big data analysis skills using the R programming language. It explains installation and basic syntax in detail for beginners, so newcomers can follow along easily. It also includes exercises and comprehensive problems to build practical skills for the Big Data Analysis Engineer exam. One particular advantage is that the book is printed entirely in color, making the code and graphs clearer. Readers can gain not only the knowledge needed to pass the exam

A must-read for practical big data analysis and certification prep! Based on the R programming language, this book is organized so beginners can understand it easily. Detailed explanations, from installing R to basic syntax, help newcomers get oriented. Chapter exercises and comprehensive problems let readers review what they have learned and build their skills on their own. The code and graphs are printed in color, making them easier to understand visually. This book can help both industry

This book is a strong guide for improving practical big data analysis skills and earning a related certification, with a systematic treatment of techniques using R. It explains everything in detail, starting with R installation and basic syntax so beginners can understand it easily. Pairing theory with hands-on examples makes learning more effective, while chapter exercises and comprehensive problems let readers check their understanding. One major advantage is that it is printed entirely in

As interest in big data analysis has grown, so has demand for learning the R programming language. This book was published to meet that need and is organized so that even beginners can follow along easily. It starts with installing R and learning basic syntax, then gradually covers big data analysis techniques. Chapter exercises and a comprehensive review help readers build their skills independently. The code and graphs are also printed in color, making them easier to understand. I was able to

I recommend this book to anyone interested in big data analysis! It is designed to help readers develop practical big data analysis skills using R. The material on installing R and learning basic syntax makes it easy for beginners to understand. Chapter exercises and comprehensive problems also let you check your progress on your own. Best of all, the code and graphs are in color, making the material more vivid and engaging to study. You can use this one book to prepare for the Big Data

As interest in big data analysis grows, the ability to analyze data using the R programming language is becoming increasingly important. This book explains R installation and basic syntax in detail so that beginners can understand them easily. It also includes exercises and comprehensive problems for practicing what you have learned and preparing for the practical Big Data Analysis Engineer exam. The code and graphs are in color, which makes them easier to understand. The book can help with