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Tableau in action 2025: Master Advanced Data Visualization, Analytics, Dashboards, AI-Powered Insights, Python Integration, and Real-World Industry Pr
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ISBN13: 9798290584096
Publisher: Independently Published
Published: Jul 2 2025
Pages: 356
Weight: 1.82
Height: 0.74 Width: 8.50 Depth: 11.00
Language: English
Publisher: Independently Published
Published: Jul 2 2025
Pages: 356
Weight: 1.82
Height: 0.74 Width: 8.50 Depth: 11.00
Language: English
Design cutting-edge business dashboards, integrate predictive analytics, and tell data stories that drive strategy-using the full power of Tableau's modern BI ecosystem Key Features
- Master Tableau Desktop, Tableau Prep, and Tableau Server with 2023-2025 updates
- Build interactive dashboards with advanced filters, parameters, maps, and KPIs
- Master Tableau Desktop, Tableau Prep, and Tableau Server with 2023-2025 updates
- Build interactive dashboards with advanced filters, parameters, maps, and KPIs
- Integrate Python models with TabPy to perform machine learning and forecasting
- Apply Tableau to real business domains-Sales, Finance, HR, Healthcare, and more
- Create data pipelines and secure governance frameworks with confidence Book Description
Tableau in Action 2025 is your end-to-end blueprint for becoming a high-impact Tableau practitioner. Whether you're starting from scratch or scaling your analytics skills, this guide helps you move from simple charts to enterprise-grade dashboards and predictive models.
The book begins with essential Tableau concepts-from connecting to Excel, SQL, or cloud data, to building calculated fields, table calculations, and Level of Detail expressions. You'll explore Tableau Prep for reshaping messy data and build strong foundations in design thinking, visual storytelling, and business-first analytics.
Then it's time to go deeper.
You'll create dynamic dashboards with filter actions, drill-downs, responsive layouts, and mobile views. Discover how to use trend lines, clusters, and Explain Data to uncover hidden patterns. Integrate TabPy to run Python code for churn prediction and time-series forecasting-all inside Tableau.
Hands-on chapters bring theory to life through real industry use cases-from sales pipelines and revenue forecasts to healthcare KPIs and HR turnover analysis. You'll also learn to publish dashboards, secure user access, schedule refreshes, and optimize performance on Tableau Server or Cloud.
Finally, career-focused chapters help you build a public portfolio, prepare for Tableau Certification, and grow as a freelance BI consultant or internal analytics leader. What you will learn
- Build dashboards with dual-axis charts, heatmaps, maps, and story points
- Clean and reshape data using Tableau Prep workflows and automation
- Master LOD expressions, aggregation logic, and advanced filters
- Apply clustering, AI explanations, and forecasting to real business scenarios
- Connect Tableau to Python (TabPy) to run ML models directly in dashboards
- Design dashboards for Sales, HR, Finance, Government, and Healthcare
- Secure dashboards with row-level security and permissions
- Boost dashboard performance and manage live/extract connections
- Learn layout strategies, mobile optimization, and data storytelling principles
- Build your public Tableau portfolio and navigate freelance/consulting careers Who this book is for
This book is ideal for business intelligence professionals, analysts, and data-driven leaders who want to solve real-world problems using Tableau. Whether you're a beginner or advancing toward certification or consulting, you'll gain expert-level skills through hands-on practice, industry projects, and AI-driven analytics. No previous Tableau experience is required.
- Apply Tableau to real business domains-Sales, Finance, HR, Healthcare, and more
- Create data pipelines and secure governance frameworks with confidence Book Description
Tableau in Action 2025 is your end-to-end blueprint for becoming a high-impact Tableau practitioner. Whether you're starting from scratch or scaling your analytics skills, this guide helps you move from simple charts to enterprise-grade dashboards and predictive models.
The book begins with essential Tableau concepts-from connecting to Excel, SQL, or cloud data, to building calculated fields, table calculations, and Level of Detail expressions. You'll explore Tableau Prep for reshaping messy data and build strong foundations in design thinking, visual storytelling, and business-first analytics.
Then it's time to go deeper.
You'll create dynamic dashboards with filter actions, drill-downs, responsive layouts, and mobile views. Discover how to use trend lines, clusters, and Explain Data to uncover hidden patterns. Integrate TabPy to run Python code for churn prediction and time-series forecasting-all inside Tableau.
Hands-on chapters bring theory to life through real industry use cases-from sales pipelines and revenue forecasts to healthcare KPIs and HR turnover analysis. You'll also learn to publish dashboards, secure user access, schedule refreshes, and optimize performance on Tableau Server or Cloud.
Finally, career-focused chapters help you build a public portfolio, prepare for Tableau Certification, and grow as a freelance BI consultant or internal analytics leader. What you will learn
- Build dashboards with dual-axis charts, heatmaps, maps, and story points
- Clean and reshape data using Tableau Prep workflows and automation
- Master LOD expressions, aggregation logic, and advanced filters
- Apply clustering, AI explanations, and forecasting to real business scenarios
- Connect Tableau to Python (TabPy) to run ML models directly in dashboards
- Design dashboards for Sales, HR, Finance, Government, and Healthcare
- Secure dashboards with row-level security and permissions
- Boost dashboard performance and manage live/extract connections
- Learn layout strategies, mobile optimization, and data storytelling principles
- Build your public Tableau portfolio and navigate freelance/consulting careers Who this book is for
This book is ideal for business intelligence professionals, analysts, and data-driven leaders who want to solve real-world problems using Tableau. Whether you're a beginner or advancing toward certification or consulting, you'll gain expert-level skills through hands-on practice, industry projects, and AI-driven analytics. No previous Tableau experience is required.
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