Packt Publishing Mastering Tableau 2026: Implement advanced data visualizations, BI techniques and AI-powered analytics with Tableau

Build, design, and improve advanced business intelligence solutions using Tableau's newest updates, including Tableau Desktop, Prep Builder, Server, and AI-powered features to drive data-driven decision-making. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Build advanced Tableau dashboards and data visualizations for business intelligence Leverage Tableau AI features, automated insights, and LOD expressions to accelerate analysis Master Tableau Prep Builder, Server, and advanced analytics, including time series and geospatial Book Description Master the full capabilities of Tableau to design, build, and scale modern data visualization and business intelligence solutions. This book takes you beyond the basics to help you create advanced Tableau dashboards, perform efficient data preparation with Tableau Prep Builder, and deliver impactful analytics across your organization. Through practical examples, you’ll learn how to turn raw data into meaningful insights using proven Tableau data visualization techniques. As you progress, you’ll work with calculated fields and LOD expressions to build more flexible and powerful analyses. You’ll also explore performance optimization, deployment, and collaboration using Tableau Server, along with best practices for data governance and security in enterprise environments. In addition, the book covers AI-powered Tableau features that enhance analysis and accelerate insight discovery. You’ll apply advanced techniques such as time series analysis, geospatial analytics, and data modeling, and extend Tableau’s capabilities through Python and R integration for more sophisticated analytics workflows. By the end of this book, you’ll be equipped to build scalable, high-performance Tableau analytics solutions, enabling you to solve complex business problems with confidence. What you will learn Learn Tableau components like calculated fields and LOD expressions Master Tableau Prep Builder with all its features and settings Explore and implement data analytics with Python and R Use Tableau Exchange for accelerators, extensions, and connectors Interact with Tableau Server to understand its functionalities Study advanced visualizations and dashboard creation techniques Master self-service, time series, and geo-spatial analytics Learn to implement data governance and AI-powered features Who this book is 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. Table of Contents Reviewing the Basics Cleaning Your Data Using Tableau Prep Builder Learning about Joins, Blends, and Data Structures Introducing Table Calculations Utilizing OData, Data Densification, Big Data, and Google BigQuery Practicing Level of Detail Calculations Going Beyond the Basics Working with Maps Designing Dashboards and Best Practices for Visualizations Leveraging Advanced Analytics Improving Performance Exploring Tableau Server and Tableau Cloud Integrating Programming Languages The Intelligent Era of Tableau AI, Pulse, and Next Developing Data Governance Practices