Course Outline
Introduction
Initial Configuration of 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 arranging data
- Advanced filtering and hiding techniques
- Exploring various options for ordering and grouping
- Sorting, Groups, Bins, and Sets
- Interplay between these options
Manipulating Data in Tableau
- Incorporating multiple measures in a view
- Illustrating relationships between numerical values
- Viewing specific data points
- Tailoring your data presentation
- Distinguishing Dimensions from Measures
- Data types: discrete vs. continuous measures
- Joining database sources
- Inner, outer, left, and right joins
- Blending various data sources within a single worksheet
- Using extracts versus live connections
- Identifying data quality issues
- Managing metadata and connection sharing
Data Calculations and Statistical Analysis
- Row-level calculations
- Aggregate calculations
- Arithmetic, string, and date-based calculations
- Custom aggregations and calculated fields
- Control-flow calculations
- Underlying mechanisms
- Advanced statistical methods
- Handling dates and times
Data Analysis via Table Calculations
- Quick table calculations
- Scope and direction
- Addressing and partitioning
- Advanced table calculation techniques
Advanced Geographic Techniques
- Creating basic maps
- Geographic fields and map settings
- Geographical data mapping
- Customizing geographic views
- Web Map Service (WMS)
- Visualizing non-geographic data using background images
- Best practices for mapping
- Distance computations
Implementing Parameters in Tableau
- Creating parameters
- Using parameters within calculated fields
- Parameter control settings
- Enhancing analysis and visuals with parameters
Developing 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 using varied mark types
- Highlight tables
- Scatter plots
- Bar chart variations such as bullet charts and bar-in-bar
Advanced Formatting
- Labels
- Legends
- Emphasizing data with reference lines
- Annotations
Storytelling with Data Dashboards
- Dashboard structure
- Filter actions
- Highlight actions
- URL actions
- Cascading filters
Trend Analysis and Forecasting
- Interpreting and adjusting trend lines
- Distributions
- Forecasting techniques
Integrating Tableau with R for Advanced Analytics
- Option to include various R-based data analytics methods upon participant request
Troubleshooting
Summary and Conclusion
Requirements
- Familiarity with business intelligence and data visualization concepts.
Target Audience
- Data analysts
- Data scientists
Testimonials (3)
The Practice, I created a dashboard is super easy, once time understand the subjects.
Luis Fernando - si
Course - Tableau Fundamentals to Advanced
Hand's on exercise under the control of trainer. All attendees were thus highly encouraged to participate.
Gerard Suissa - Brown-Forman France
Course - Tableau Fundamentals to Advanced
The trainer answered all of my questions and gives us a walkthrough.
