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Course Outline

Introduction

Configuring Tableau

Overview of Tableau Features and Architecture

Navigating the Tableau User Interface

Establishing Data Connections

Data Organization, Filtering, Sorting, & Grouping

  • Structuring your data
  • Filtering data by date
  • Simplifying and sorting datasets
  • Advanced filtering and hiding options
  • Exploring diverse ordering and grouping capabilities
  • Sorting, groups, bins, and sets
  • Interrelations between configuration options

Data Manipulation in Tableau

  • Utilizing multiple measures within a view
  • Visualizing relationships between numerical values
  • Displaying specific data values
  • Customizing data presentation
  • Distinguishing between dimensions and measures
  • Data types: discrete versus continuous measures
  • Joining database sources
  • Inner, outer, left, and right joins
  • Blending multiple data sources in a single worksheet
  • Using extracts versus live connections
  • Addressing data quality issues
  • Managing metadata and sharing connections

Data Calculations and Statistics

  • Row-level calculations
  • Aggregate calculations
  • Arithmetic, string, and date calculations
  • Custom aggregations and calculated fields
  • Control-flow calculations
  • Understanding underlying processes
  • Advanced statistical methods
  • Working with dates and times

Table Calculations for Data Analysis

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

Advanced Geographic Techniques

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

Parameters in Tableau

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

Creating 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 varied mark types
  • Highlight tables
  • Scatter plots
  • Bar chart variations, including bullet charts and bar-in-bar

Advanced Formatting

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

Data Storytelling with Dashboards

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

Trends and Forecasting

  • Customizing trend lines
  • Distributions
  • Forecasting

Integrating Tableau and R for Advanced Data Analytics

  • Including specific R-based data analytics methods upon participant request

Troubleshooting

Summary and Conclusion

Requirements

  • Familiarity with business intelligence concepts and data visualization practices

Target Audience

  • Data analysts
  • Data scientists
 28 Hours

Number of participants


Price per participant

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