Tableau Advanced Training Course

Introduction and Getting Started

1. Filtering, Sorting & Grouping
   1. Advanced options for filtering and hiding data
   2. Understanding multiple options for ordering and grouping your data
   3. Sort, groups, bins, and sets
   4. Interrelationships between all options
2. Working with Data in Tableau
   1. Dimensions versus measures
   2. Data types: discrete versus continuous
   3. Joining database sources
   4. Inner, left, and right joins
   5. Blending different data sources in a single worksheet
   6. Working with extracts instead of live connections for government use
   7. Addressing data quality issues
   8. Metadata and sharing connections
3. Calculations on Data and Statistics
   1. Row-level calculations
   2. Aggregate calculations
   3. Arithmetic, string, and date calculations
   4. Custom aggregations and calculated fields
   5. Control-flow calculations
   6. Understanding the underlying processes
   7. Advanced statistical methods
   8. Working with dates and times for government applications
4. Table Calculations
   1. Quick table calculations
   2. Scope and direction of calculations
   3. Addressing and partitioning data
   4. Advanced table calculations
5. Advanced Geographic Techniques
   1. Building basic maps for government use
   2. Geographic fields and map options
   3. Customizing a geographic view
   4. Web Map Service integration
   5. Visualizing non-geographical data with background images
   6. Mapping tips for enhanced clarity
   7. Distance calculations
6. Parameters in Tableau
   1. Creating parameters
   2. Using parameters in calculated fields
   3. Parameter control options
   4. Enhancing analysis and visualizations with parameters for government projects
7. Building Advanced Chart Visualizations
   1. Bar chart variations: bullet, bar-in-bar, highlights charts
   2. Date and time visualizations, Gantt charts
   3. Stacked bars, treemaps, area charts, pie charts
   4. Heat maps for government data
   5. KPI charts for performance metrics
   6. Pareto charts for prioritization
   7. Bullet charts for comparative analysis
8. Advanced Formatting
   1. Labels and label formatting
   2. Legends and legend customization
   3. Highlighting key data points
   4. Annotations for detailed insights
9. Telling a Data Story with Dashboards
   1. Dashboard framework and design principles
   2. Filter actions to enhance interactivity
   3. Highlight actions for data emphasis
   4. URL actions for external linking
   5. Cascading filters for dynamic data exploration
10. Trends and Forecasting
    1. Understanding and customizing trend lines
    2. Analyzing distributions
    3. Forecasting techniques for government data
11. Integrating Tableau and R for Advanced Data Analytics
    1. Possibility to include various data analytics methods in R upon request for government projects