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Key benefits

Master new Tableau 2023 features to solve real-world analytics challenges

Learn how to use both pre-defined and your own Machine Learning models in Tableau

How to manage Data Governance and secure high data quality

Description

This edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added. Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau. By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.

Who is this book for?

This book is designed for business analysts, business intelligence professionals, and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. Prior exposure to Tableau will help you get to grips with the features more quickly, but it’s not a prerequisite.

What you will learn

Learn about various Tableau components, such as calculated fields, table calculations, and LOD expressions

Master ETL (Extract, Transform, Load) techniques using Tableau Prep Builder

Explore and implement data storytelling with Python and R

Understand Tableau Exchange by using accelerators, extensions, and connectors

Interact with Tableau Server to understand its functionalities

Study advanced visualizations and dashboard creation techniques

Brush up on powerful self-service analytics, time series analytics, and geo-spatial analytics

Find out why data governance matters and how to implement it

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

€38.99

Interpretable Machine Learning with Python

€37.99

€37.99

Total € 114.97

Airton Leal Oct 01, 2023

As a seasoned Tableau user, I've been eagerly awaiting the release of this book, and I can confidently say that it exceeded my expectations. This fourth edition is a true masterpiece for anyone seeking to harness the full power of Tableau for advanced data analytics and business intelligence.The book provides a well-structured and comprehensive approach to mastering Tableau, covering many topics, from basic concepts to advanced techniques, including integrating machine learning models. What sets this edition apart is its updated content, specifically tailored to the latest Tableau version, ensuring readers are updated with the most recent features and functionalities. The hands-on examples and real-world use cases make it easy to follow along, and the author's clear explanations make complex topics accessible, even to those new to the field.One of the highlights of this book is its emphasis on practical application. The author doesn't just focus on theory; they provide concrete examples and step-by-step instructions for implementing advanced analytics and machine learning models within Tableau. This approach makes it easy for readers to apply what they've learned to their projects, enhancing their ability to make data-driven decisions. Additionally, the book's coverage of data visualization best practices is invaluable, helping users create compelling and informative dashboards that effectively communicate insights. The explanations on designing dashboards and best practices for creating visualizations are outstanding, providing actionable insights for producing impactful data presentations. This book is a must-have for anyone who wants to unlock Tableau's full potential and become an accurate data visualization and analytics expert—highly recommended!

Amazon Verified review

Anudeep Oct 03, 2023

The breadth and depth of the topics covered in the book make this a handy book on every data person’s shelf. It presents concepts starting from basics such as building dashboards and ramping up to advanced topics such as connecting to R and Python and deploying models - all in a clear and easy-to-follow manner.This book has kept pace with Tableau's evolution to cover its most recent features and best practices. The content is up-to-date and a must-have regardless of whether you are a beginner (can refresh on powerful features) or an advanced user as you will find invaluable insights and understand why a certain feature works better than the other to accomplish what you need.It includes hands-on exercises to apply what was learned. The book has one whole chapter dedicated to getting the best out of Tableau for making your presentations as easy and effective as possible.The book has a code bundle hosted on GitHub to download example code files.It's a no-brainer investment for your Tableau learning journey and one that you will be using for years as a reference.

Amazon Verified review

Darnell Grantham Jr. Sep 06, 2023

I am occasionally asked to review new technical books to determine what development tools could be beneficial to mefor current and upcoming data presentation and analysis projects.One such resource that I have had the recent pleasure of reviewing is theMastering Tableau 2023 Fourth Edition authored by Marleen Meier and published by PackT Publishing. Ihave been a Tableau user for just a little over two years and originally read the Mastering Tableau 2021Third Edition by Marleen Meier and David Baldwin when it was first released. This fourth edition builds uponthat same foundation offering greater insight into Tableau 2023. Mastering Tableau 2023 Fourth Edition coversan exhaustive set of Tableau's features from design, preparation,practice and presentation but one thing that makes this book easily digestible is the toneof Meier's explanations. She makes it relatable and breaks the topics down into personable language and occasional humoras if you were present in a her course.The topics in this book covers the majority of topics that I have read in most Tableau resources including a refreshingreview of the basics like worksheets, dashboards, dimensions, tables, calculations, joinsand PrepBuilder. Meier takes a deeper dive into explaining TabPy's integration of Tableau and Python'sability to receive arguments and effectively return data from functions.There is a great explanation of joins and unions of logical tables whichcan enhance or create blended data relationships, data densifications and domain completion in forecasting.Meier covers Tableau's Prep Builder environment and gives detailed yet simple exercises and instructionsto help the reader understand useful applications of prepping their data inputs to be cleaned, massaged and prepared for easy toingest data analysis. Although I primarily use SQL and other tools to perform joinsand calculations before inserting data into Tableau, Meier does a great job explaining how a non-developercan perform the same features and joins within Tableau and Tableau Prep. There have been times that I havehad errors joining fields between logical tables in Tableau and Meier gives great instructions on how thiscommon issue can be remedied by modifying the adjoining string columns of similar data type to performbetter matching. For the reader who is particularly interested in using Pivots for their data,there is a very good instructional exercise of using Pivots in Tableau Prep Builder. I have struggled beforeparticularly in Tableau with combining multiple lines or visuals from three or more graphs onto one and thisbook explains how this data can easily be prepared using Prep Builder to design a visual synchronizing multiple axisinto one. Meier also covers Data Flow Insertion, Incremental Refreshes and Bulk Renames from Prep Builder.Of another particular interest to me was Meier's explanation of Regression Analysis which coversthe estimating of variable relationships such as linear regression be itlogarithmic, exponential or polynomial. Meier explains that the scripting language R is a flexible tool for regression analysis anddoes a great job of explaining how variables can be fitted into the R function for multi-variable linearregression linear models.Further into this book Meier hints at the ability of fusing AI with Tableau Analyticsafter the announcement of new products like Tableau GPT and Tableau Pulse which will be hitting the market soon.Great book overall.

Amazon Verified review

Rampage Jun 27, 2024

Marleen is. A well renowned author the way she has explained certain concepts shows why it's a masterpiece I would certainly vouch for all folks to have this amazing title learn and grow

Amazon Verified review

Devaraj Aug 29, 2023

This book is a must-read for anyone seeking to elevate their Tableau skills. The authors' deep expertise shines through, and their ability to convey complex concepts in an accessible manner makes this book an invaluable resource for tableau learners. It's a comprehensive and up-to-date guide that will undoubtedly help you tackle the ever-evolving challenges of the BI.The book starts with a promise to bring readers up to speed with the most recent updates in Tableau, covering Tableau Desktop, Tableau Prep, and Tableau Server features. It helps both the beginners looking to grasp the fundamentals and seasoned users looking to stay ahead of the curve.One of the standout features of this book is its practicality. It doesn't just stop at explaining concepts; it provides readers with real-world examples and scenarios that demos about how to apply Tableau's features effectively.Concepts like calculated fields, table calculations, and LOD expressions are explained in an approachable manner, ensuring that readers of all experience levels can grasp them. Furthermore, intro to the integration of Machine Learning models into Tableau is a noteworthy addition.The book's structure is well-organized, progressing from fundamental concepts to advanced topics seamlessly. The discussions on data storytelling with Python and R, as well as connecting Tableau to these programming languages, helps us in both data analysis and visualization.The comprehensive coverage ensures that readers can tackle a wide array of data-related tasks and challenges with confidence.Finally, it covers the crucial topic of data governance, emphasizing its importance in maintaining data quality and security.

Amazon Verified review

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Mastering Tableau 2023: Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau , Fourth Edition

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