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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 your data by date
- Simplifying and sorting your data
- Advanced options for filtering and hiding
- Understanding many options for ordering and grouping your data
- Sort, Groups, Bins, Sets
- Interrelation between all options
Working with Data in Tableau
- Using multiple measures in a view
- Showing the relationship between numerical values
- Viewing specific values
- Customizing your data
- Dimension vs Measure
- Data types, discrete versus continuous for measure
- Joining database sources
- Inner, outer, left, right join
- Blending different datasources in a single worksheet
- Working with extracts instead of live connections
- Data quality problems
- Metadata and sharing a connection
Calculations on Data and Statistics
- Row-level calculations
- Aggregate calculations
- Arithmetic, string, date calculations
- Custom aggregations and calculated fields
- Control-flow calculations
- What is behind the scene
- 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 Geo techniques
- Building basic maps
- Geographic fields, map options
- Mapping data geographically
- Customizing a geographic view
- Web Map Service (WMS)
- Visualizing non geographical data with background images
- Mapping tips
- Distance calculations
Parameters in tableau
- Creating parameters
- 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 and time visualizations and gantt charts
- Stacked bars and area charts
- KPI charts and pareto charts
- Dual axis and combined charts with different mark types
- Highlight tables
- Scatter Plots
- Bar chart variations - bullet charts, bar-in-bar
Advanced formattting
- 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
- Possibility to include different data analytics methods in R on participants request
Troubleshooting
Summary and Conclusion
Requirements
- Experience with business intelligence and data visualization.
Audience
- Data analysts
- Data scientists
28 Hours
