Tableau Intermediate Course (Level 2) – Instructor Led

By Christopher Uncategorized
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About Course

The Tableau for intermediate Course (Level 2) is designed is suitable for individuals who already have a foundational understanding of Tableau and want to deepen their skills.. Below is an overview of the course outline:

  • Desktop I Review
  • Working with a Data Extract
  • Joining Tables
  • Blending Multiple Data Sources
  • Blending Data without a Common Field
  • Using Split and Custom Split
  • Advanced Calculations: Aggregating Dimensions
  • Controlling Table Calculations
  • Showing the Biggest and Smallest Values
  • Using Level of Detail Expressions
  • Filtering and LOD Expressions
  • Using Parameters to Control Data in the View
  • Parameters: Swap Measures
  • Using Sets to Highlight Data
  • Advanced Mapping: Modifying Locations
  • Advanced Mapping: Customizing Tableau’s Geocoding
  • Advanced Mapping: Using a Background Image
  • Viewing Distributions
  • Comparing Measures Against a Goal
  • Showing Statistics and Forecasting: Use the Analytics Pane and Trend Lines
  • Advanced Dashboards: Using Design Techniques and Filter Actions
  • Telling Stories with Data
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What Will You Learn?

  • Advanced Data Connections and Joins, connecting to multiple data sources. Using data blending and cross-database joins and understanding the use of data extracts and filters in more complex scenarios.
  • Advanced Calculations. Creating and using table calculations. Working with calculated fields, including logical functions, string functions, and date calculations and understanding Level of Detail (LOD) expressions for more granular data analysis.
  • Advanced Chart Types. Creating dual-axis and combination charts. Building more complex visualizations like histograms, bullet charts, and advanced maps and using parameters to enhance visual interactivity.
  • Dashboard Design and Interactivity. Creating interactive dashboards with actions (filter, highlight, URL actions). Designing dashboards for different devices (desktop, tablet, phone) and using dashboard objects like containers and images to improve layout and design.
  • Data Structuring and Preparation. Pivoting, splitting, and grouping data. Handling null values and working with data preparation tools within Tableau and using the Data Interpreter for cleaning and restructuring data.
  • Performance Optimization. Understanding the performance recorder. Best practices for optimizing dashboard performance, including efficient use of filters and calculations.
  • Advanced Analytics. Using forecasting, trend lines, and clustering for predictive analytics. Understanding and using reference lines, bands, and distributions. Creating and customizing maps with geographic data.
  • Collaboration and Sharing. Publishing dashboards to Tableau Server or Tableau Online. Sharing visualizations and dashboards with different user roles and permissions. Embedding Tableau visualizations into other platforms or websites.
  • Case Studies and Real-World Applications. Working on more complex, real-world datasets. Applying the skills learned to create comprehensive reports and dashboards and understanding best practices in data visualization and storytelling.

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