Mastering Tableau 2026: Implement advanced data visualizations BI techniques and AI-powered analytics with Tableau
Item #: 271461713

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

Item #: 271461713

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    Shop Mastering Tableau 2026: Implement advanced data visualizations BI techniques and AI-powered analytics with Tableau online at a best price in Saudi Arabia. 1806100711
    • 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 FeaturesBuild advanced Tableau dashboards and data visualizations for business intelligenceLeverage Tableau AI features, automated insights, and LOD expressions to accelerate analysisMaster Tableau Prep Builder, Server, and advanced analytics, including time series and geospatialBook DescriptionMaster 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 learnLearn Tableau components like calculated fields and LOD expressionsMaster Tableau Prep Builder with all its features and settingsExplore and implement data analytics with Python and RUse Tableau Exchange for accelerators, extensions, and connectorsInteract with Tableau Server to understand its functionalitiesStudy advanced visualizations and dashboard creation techniquesMaster self-service, time series, and geo-spatial analyticsLearn to implement data governance and AI-powered featuresWho this book is forThis 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 ContentsReviewing the BasicsCleaning Your DataUsing Tableau Prep BuilderLearning about Joins, Blends, and Data StructuresIntroducing Table CalculationsUtilizing OData, Data Densification, Big Data, and Google BigQueryPracticing Level of Detail CalculationsGoing Beyond the BasicsWorking with MapsDesigning Dashboards and Best Practices for VisualizationsLeveraging Advanced AnalyticsImproving PerformanceExploring Tableau Server and Tableau CloudIntegrating Programming LanguagesThe Intelligent Era of Tableau AI, Pulse, and NextDeveloping Data Governance Practices
    Publisher Packt Publishing
    Publication date 30 April 2026
    Edition 5.
    Language English
    Print length 738 pages
    ISBN-10 1806100711
    ISBN-13 978-1806100712
    Dimensions 19.05 x 4.24 x 23.5 cm

    Product Description

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

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    English edition Marleen Meier Format: Paperback Computer Science Editorial Review

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