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Mastering Tableau 2023: Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau
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Mastering Tableau 2023: Implement advanced business intelligence techniques, analytics, and machine learning models with 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.
Mastering Tableau 2023: Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau
物品 #: 109955567

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

89% of respondents would recommend this to a friend

物品 #: 109955567

HKD 548

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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.
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What Stands Out

Advanced Techniques
This book covers advanced business intelligence techniques, ensuring readers enhance their analytical skills and leverage Tableau's full potential for better insights and decision-making.
Machine Learning Integration
Mastering Tableau 2023 teaches users how to implement machine learning models, offering a competitive edge in data-driven strategies and enabling users to forecast trends accurately.
Updated Content
Published in 2023, the book provides the latest features and updates of Tableau, ensuring that learners stay current with powerful tools and methodologies essential for modern data analysis.

產品詳情

Shop Mastering Tableau 2023: Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau online at a best price in 香港. 1803233761
  • Build, design, and improve advanced business intelligence solutions using Tableau’s newest updates, including new Tableau Desktop, Tableau Prep, and Tableau Server features Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesMaster new Tableau 2023 features to solve real-world analytics challengesLearn how to use both pre-defined and your own Machine Learning models in TableauHow to manage Data Governance and secure high data qualityBook DescriptionThis 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 learnLearn about various Tableau components, such as calculated fields, table calculations, and LOD expressionsMaster ETL (Extract, Transform, Load) techniques using Tableau Prep BuilderExplore and implement data storytelling with Python and RUnderstand Tableau Exchange by using accelerators, extensions, and connectorsInteract with Tableau Server to understand its functionalitiesStudy advanced visualizations and dashboard creation techniquesBrush up on powerful self-service analytics, time series analytics, and geo-spatial analyticsFind out why data governance matters and how to implement itWho 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 BasicsGetting Your Data ReadyUsing 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 MapsPresenting with TableauDesigning Dashboards and Best Practices for VisualizationsLeveraging Advanced AnalyticsImproving PerformanceExploring Tableau Server and Tableau CloudIntegrating Programming LanguagesDeveloping Data Governance Practices
Publisher Packt Publishing
Publication date 29 Aug. 2023
Edition 4th
Language English
Print length 684 pages
ISBN-10 1803233761
ISBN-13 978-1803233765
Item weight 1.16 kg
Dimensions 19.05 x 3.94 x 23.5 cm

Who Should Buy?

Suitable For
  • Business Analysts

    Ideal for analysts seeking to enhance their data visualization and analytical skills using advanced Tableau techniques.

  • Data Scientists

    Useful for data scientists wanting to integrate machine learning models into their business intelligence workflows with Tableau.

  • Decision Makers

    Great for executives needing to understand advanced analytics for data-driven decision-making and strategic planning.

Not Suitable For
  • Beginners

    Not suitable for absolute beginners without prior knowledge of Tableau and data analysis concepts.

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** Mastering Tableau 2023** "Mastering Tableau 2023" emerges as an essential guide for professionals across various levels of expertise seeking to harness the full potential of Tableau, the leading business intelligence tool. Authored by the seasoned Marleen Meier, this comprehensive fourth edition is skillfully crafted to elevate the understanding of both newcomers and seasoned users alike. Beginning with fundamental concepts such as dimensions, measures, and data quality Considerations, the book sets a strong foundation for readers. As it transitions into advanced features, readers are immersed in insights surrounding OData connectors, data densification, and Level of Detail (LOD) calculations. This meticulous structure allows users to incrementally build their skill set while also addressing complex challenges they may face in real-world scenarios. One of the book's standout contributions is its emphasis on practical, interactive examples—such as visualizing spatial data and understanding static vs. dynamic mapping. Users have shared experiences that resonate deeply, recalling transformative applications of knowledge gained from the book. Additionally, the mention of best practices for dashboard creation, data governance, and the integration of programming languages, such as R and Python, showcases how the text caters to the diverse ambitions of its audience. The author doesn't shy away from critical discussions around data privacy and governance, making it relevant in this era of stringent regulations. Readers are equipped with valuable tools like free datasets and advanced analytical techniques, fostering a hands-on learning environment that promotes active engagement with Tableau’s capabilities. Overall, "Mastering Tableau 2023" is not just a book; it’s a robust educational companion that encourages readers to explore and innovate within the expansive realm of data analytics. Whether for seasoned users looking to refine their skills or beginners aiming to understand the basics, this book serves as a vital resources poised to inspire a profound journey into the world of Tableau. **

Customer Reviews & Ratings

4.5
23 客戶評分
  • 5 星
    80%
  • 4 星
    7%
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優點

  • Comprehensive coverage from basic to advanced Tableau functionalities.
  • Practical examples and real-world applications.
  • Emphasis on best practices in dashboard design and data governance.
  • Addressing critical topics like data privacy and advanced analytics integration.
  • Inclusion of free datasets for applied learning.

缺點

  • May be less beneficial for individuals entirely new to data analytics without any familiarization with Tableau.

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HKD 548

現在訂購，約可在下列時間收貨： 星期二, 十月 20

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特色和優勢

  • Master Tableau’s newest features for advanced business intelligence.
  • Learn both pre-defined and self-created Machine Learning models.
  • Implement data governance and ensure high data quality.
  • Gain expertise in complex data handling and visualization techniques.
  • Understand self-service analysis, time series, and geo-spatial analytics.
  • Utilize Python and R integrations for enhanced functionality.

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