Mastering Tableau 2021- Third Edition: Implement advanced business intelligence techniques and analytics with Tableau

If you are looking to up your analysis and visualization game using Tableau, this is the book for you! As a business analytics professional, I look for books that can distill complex subjects in a way that everyone can benefit from. This book does that. This book not only covers the essential functions of Tableau Software, but it also discusses advanced functionalities like expert-level examples to help with visual design, time series analysis, and geo-spatial analysis and connecting Tableau to Python and R.Tableau is becoming more robust and flexible, allowing you now to connect Amazon Web Services (AWS)' SageMaker machine learning models to Tableau workbooks, continuing its evolution to being a complete data science platform. To better leverage Tableau, read the book.

It's difficult to see which chapter you are reading, which also makes narrowing down a search to relevant content unnecessarily convoluted. All they had to do was number the chapters visibly on the navigation. Readers are not necessarily always trying to read the entire book in sequence, publisher should make navigation efficient. Otherwise it's a pretty good intro book, but yikes you waste a lot of time just trying to narrow down a search to relevant content.

Great book. Curated to be easy to read most important concepts and tools.

I have a kindle version. The accompanying files in the github are not complete or downloadable.

The book is very helpful and educational. However, I cannot download the data files to work through many of the example problems. When I go to the GitHub page for the data files and click download, many of them return a 404 not available error. The whole point of this book for me is to work through these examples to thouroughly familiarize myself with Tableau, so if they are not there, the utility of the book is greatly diminished. ( I am currently working through chapter 8.)

Whether you are a beginner or an intermediate user of Tableau, this book comes in handy in teaching mastery of business intelligence using Tableau. The authors have leveraged their vast industry experience to really teach the concepts in a simple yet detailed approach.From this book you'll get to understand how and when to blend, join or union your data, functions and table calculations, data densification, how to deal with big data in Tableau, visualization best practices among other core concepts. What I really like about the book is that you get illustrated outputs that help you while you are practising. Further, every concept builds upon each other and you kind of get the hang of those hardcore concepts pretty fast through practical use cases where you get a feel of real-world scenarios.I would highly recommend the book for anyone who would like to dive deep into mastery of their business intelligence skills. I give the book a 10/10 because it not only teaches you the fundamentals but also teaches you the integration with python and R to achieve things that are impossible with Tableau's native functionalities alone. It's that one book that you'll always have next to you as your 'data bible'

Right away, you could see on the side of the book something was off. After opening the book, you can clearly see by the pictures I posted that most of the pages of this book were printed off the side of the paper. This book is unreadable as it is, with words and figures cut off of the side.

There is no sample data at the link that is mentioned in the book

Update: Excellent support from Publisher who has fixed the online Tableau and will update text for next edition. Upgraded to 3 star for now. Will revisit once book finished.I'm currently working through this book and have completed chapter 1. I'm seriously doubting continuing with further chapters due to fundamental issues with some of the material.1. Page 37 the material uses a work alongside example to use a Measure called Quantity. The measure called Quantity does not exist.2. Page 9, it advises to navigate to the Nested Sorting tab. Unfortunately this tab doesnt exist.To find two huge glaring errors in the first ten or so worked examples in what is a recap chapter of basic Tableau concepts is disconcerting on a THIRD edition of a book, and makes me doubt whether it is worth continuing with the rest of the book.I may continue and if I get to the end and not find any further issues I may revisit this review.

This book a informative but for 2000 rs I guess it does not deserve the price based on page quality.If you have kindle get the Kindle version

I learn best by doing. Tableau is a tool - and over time popular tools will change. However, skills retain their usefulness. Aside from learning the Tableau toolset, the other reason I am interested in this book is to sharpen skills key to data science - coding, math and stats. For me, this is a practical approach - the book has loads of example solutions that I can refer to whilst problem solving.

This is my first Packt purchase and I am extremely pleased. The authors have done a great job in writing a technical manual that is easy to understand and apply, and I love the exercises.