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.
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
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Marleen Meier has been working in the field of data science since 2013. Her experience includes Tableau training, proof of concepts, implementation, enablement as well as quantitative analysis, machine learning and AI. In 2018, she was a speaker at the Tableau conference, where she showcased an anomaly detection model using neural networks, visualized in Tableau.
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Disclaimer: All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.
Unfortunately, due to several restrictions, we are unable to ship to the following countries: