Tableau Advanced


Request for price


Length: 5.0 day (40 hours)

 

Course objectives

After completing this course, students will be able to:

    • Master advanced calculations: Utilize table calculations, level-of-detail (LOD) calculations, and custom SQL to extract deeper insights from data.
    • Create complex visualizations: Build interactive dashboards with advanced charts, maps, and data storytelling techniques.
    • Optimize performance: Identify and address performance bottlenecks to ensure efficient dashboard delivery.
    • Implement best practices: Apply industry-standard best practices for data preparation, visualization, and dashboard design.
    • Leverage advanced data blending techniques: Combine data from multiple sources to create comprehensive analyses.
    • Automate workflows: Use Tableau Server and Tableau Prep to streamline data preparation and distribution.

Course outlines

  • Module 1: Advanced Calculations
    • Table calculations: Running totals, percent of total, rank, percentile, and more
    • Level-of-detail (LOD) calculations: FIXED, INCLUDE, and EXCLUDE calculations
    • Custom SQL: Integrating SQL queries into Tableau for complex data manipulation
  • Module 2: Complex Visualizations
    • Advanced charts: Waterfall charts, Gantt charts, and custom visualizations
    • Maps: Geospatial analysis, custom maps, and advanced map layers
    • Data storytelling: Creating compelling narratives with interactive dashboards and stories
  • Module 3: Performance Optimization
    • Understanding Tableau's performance engine
    • Identifying and resolving performance bottlenecks
    • Optimizing data sources, calculations, and visualizations
    • Leveraging Tableau Server for efficient data delivery
  • Module 4: Best Practices
    • Data preparation best practices: Cleaning, formatting, and blending data
    • Visualization best practices: Effective use of color, size, and shape
    • Dashboard design best practices: Layout, interactivity, and storytelling
    • Security and governance best practices: Protecting sensitive data and ensuring data quality
  • Module 5: Advanced Data Blending
    • Understanding data blending concepts: Joins, unions, and custom SQL
    • Creating complex data blends: Combining multiple data sources with different granularities
    • Resolving data blending challenges: Handling data conflicts and performance issues
  • Module 6: Automation with Tableau Server and Tableau Prep
    • Tableau Server administration: User management, permissions, and scheduling
    • Tableau Prep: Data cleaning, shaping, and blending
    • Automating workflows: Scheduling tasks, creating alerts, and integrating with other tools