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 Duration 28 hours

Course Outline

Preamble

Initial Configuration of Tableau

Summary of Tableau Capabilities and System Architecture

Orientation to the Tableau User Interface

Data Source Connectivity

Data Curation, Filtering, Sorting, and Aggregation

  • Structuring and organizing data assets
  • Date-based data segmentation
  • Data simplification and ordering
  • Advanced filtering and visibility controls
  • Comprehensive options for data ordering and grouping
  • Sorting, grouping, binning, and set creation
  • Interdependencies among sorting, grouping, and filtering functions

Data Manipulation in Tableau

  • Incorporating multiple metrics within a single view
  • Visualizing correlations between numerical variables
  • Displaying specific data points
  • Customizing data presentation
  • Distinguishing between dimensions and measures
  • Data typing, and the difference between discrete and continuous measures
  • Integrating database sources
  • Application of inner, outer, left, and right joins
  • Blending heterogeneous data sources in a single worksheet
  • Utilizing data extracts versus live connections
  • Addressing data quality issues
  • Managing metadata and connection sharing

Data Calculations and Statistical Analysis

  • Row-level computations
  • Aggregate calculations
  • Arithmetic, string, and date-based operations
  • Custom aggregations and calculated fields
  • Control-flow logic
  • Underlying computational processes
  • Advanced statistical methods
  • Temporal and chronological analysis

Advanced Analysis via Table Calculations

  • Quick calculation features
  • Defining scope and direction
  • Addressing and partitioning strategies
  • Complex table calculation implementations

Advanced Geospatial Techniques

  • Constructing foundational maps
  • Geographic fields and configuration options
  • Geospatial data mapping
  • Customizing geospatial views
  • Web Map Service (WMS) integration
  • Visualizing non-geographic data using background imagery
  • Best practices for mapping
  • Distance metric calculations

Parameters in Tableau

  • Parameter creation
  • Utilizing parameters in calculated fields
  • Parameter control mechanisms
  • Enhancing analytical depth and visualization via parameters

Creation of Basic and Advanced Visualizations

  • Crosstabs
  • Geographic maps, heat maps, and tree maps
  • Pie and bar charts
  • Temporal visualizations and Gantt charts
  • Stacked bars and area charts
  • KPI indicators and Pareto charts
  • Dual-axis and combined charts with varied mark types
  • Highlight tables
  • Scatter plots
  • Bar chart variations, including bullet and bar-in-bar charts

Advanced Formatting

  • Labels
  • Legends
  • Emphasizing data via reference lines
  • Annotations

Communicating Data Insights via Dashboards

  • Dashboard design frameworks
  • Filter actions
  • Highlight actions
  • URL actions
  • Cascading filter logic

Trend Analysis and Forecasting

  • Interpretation and customization of trend lines
  • Data distributions
  • Predictive modeling

Integration of Tableau and R for Advanced Analytics

  • Incorporation of R-based analytics methods upon participant request

Diagnostic and Resolution Procedures

Conclusion and Summary

Requirements

  • Demonstrated proficiency in business intelligence and data visualization practices.

Target Audience

  • Data analysts
  • Data scientists

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