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Course Outline

Introduction

Setting Up Tableau

Overview of Tableau Features and Architecture

Navigating the Tableau User Interface

Connecting to Your Data

Organizing, Filtering, Sorting & Grouping

  • Organizing your data
  • Slicing data by date
  • Simplifying and sorting your data
  • Advanced options for filtering and hiding
  • Understanding numerous options for ordering and grouping data
  • Sorts, Groups, Bins, and Sets
  • Interrelation among all options

Working with Data in Tableau

  • Utilizing multiple measures in a view
  • Illustrating relationships between numerical values
  • Viewing specific values
  • Customizing your data
  • Dimension vs. Measure
  • Data types: discrete versus continuous for measures
  • Joining database sources
  • Inner, outer, left, and right joins
  • Blending different data sources within a single worksheet
  • Working with extracts versus live connections
  • Addressing data quality issues
  • Metadata and sharing connections

Calculations on Data and Statistics

  • Row-level calculations
  • Aggregate calculations
  • Arithmetic, string, and date calculations
  • Custom aggregations and calculated fields
  • Control-flow calculations
  • Behind-the-scenes mechanics
  • Advanced statistics
  • Working with dates and times

Analyzing Data with Table Calculations

  • Quick table calculations
  • Scope and direction
  • Addressing and partitioning
  • Advanced table calculations

Advanced Geographic Techniques

  • Building basic maps
  • Geographic fields and map options
  • Geographic data mapping
  • Customizing geographic views
  • Web Map Service (WMS)
  • Visualizing non-geographical data with background images
  • Mapping tips
  • Distance calculations

Parameters in Tableau

  • Creating parameters
  • Using parameters in calculated fields
  • Parameter control options
  • Enhancing analysis and visualizations with parameters

Building Basic and Advanced Visualizations

  • Cross tabs
  • Geographic maps, heat maps, and tree maps
  • Pie charts and bar charts
  • Date/time visualizations and Gantt charts
  • Stacked bars and area charts
  • KPI charts and Pareto charts
  • Dual axis and combined charts with various mark types
  • Highlight tables
  • Scatter plots
  • Bar chart variations: bullet charts, bar-in-bar

Advanced Formatting

  • Labels
  • Legends
  • Highlighting data with reference lines
  • Annotations

Telling a Data Story with Dashboards

  • Dashboard framework
  • Filter actions
  • Highlight actions
  • URL actions
  • Cascading filters

Trends and Forecasting

  • Understanding and customizing trend lines
  • Distributions
  • Forecasting

Integrating Tableau and R for Advanced Data Analytics

  • Opportunity to include diverse data analytics methods from R, based on participant requests

Troubleshooting

Summary and Conclusion

Requirements

  • Experience with business intelligence and data visualization.

Audience

  • Data analysts
  • Data scientists
 28 Hours

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