Course Outline
Introduction and Getting Started
Filtering, Sorting & Grouping
- Advanced options for filtering and hiding data.
- Exploring various options for ordering and grouping data.
- Sorting, Groups, Bins, and Sets.
- The interrelation between all these options.
Working with Data in Tableau
- Distinguishing between Dimensions and Measures.
- Data types and the difference between Discrete and Continuous.
- Joining database sources.
- Inner, Left, and Right joins.
- Blending different data sources within a single worksheet.
- Using extracts instead of live connections.
- Addressing data quality issues.
- Managing metadata and sharing connections.
Calculations on Data and Statistics
- Row-level calculations.
- Aggregate calculations.
- Arithmetic, string, and date calculations.
- Custom aggregations and calculated fields.
- Control-flow calculations.
- Understanding the underlying mechanisms.
- Advanced Statistics.
- Working with dates and times.
Table Calculations
- Quick table calculations.
- Scope and direction.
- Addressing and partitioning.
- Advanced table calculations.
Advanced Geospatial Techniques
- Building basic maps.
- Geographic fields and map options.
- Customizing a geographic view.
- Web Map Service (WMS).
- Visualizing non-geographical data using background images.
- Mapping tips and tricks.
- Distance calculations.
Parameters in Tableau
- Creating parameters.
- Using parameters in calculated fields.
- Parameter control options.
- Enhancing analysis and visualizations with parameters.
Building Advanced Chart Visualizations
- Bar chart variations – bullet, bar-in-bar, highlights chart.
- Date and time visualizations, Gantt charts.
- Stacked bars, treemaps, area charts, and pie charts.
- Heat maps.
- KPI charts.
- Pareto charts.
- Bullet charts.
Advanced Formatting
- Labels.
- Legends.
- Highlighting.
- 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
- Options to include different data analytics methods in R, subject to participant requests.
Requirements
- Familiarity with Tableau fundamentals, such as data connections and basic visualizations.
- Practical experience in creating dashboards and worksheets within Tableau.
- Understanding of basic data analysis and visualization concepts.
Target Audience
- Data analysts looking to deepen their expertise in Tableau.
- Business intelligence professionals involved in data visualization.
- Users transitioning from advanced Excel or traditional reporting tools to Tableau.
Testimonials (7)
The examples and personalized attention
Yahaira - Trane Technologies Manufactura S de RL de CV
Course - Tableau Advanced
Machine Translated
Great knowledge of the content, good examples, great rapport with the class and very understanding if anyone needed extra help. Willing to stop and go back to explain things again and in a manner in which could be easily understood.
Martina O'Neill - Tech NorthWest Skillnet
Course - Tableau Advanced
Ability to direct the content covered to suit individual needs
Stefan Wroblewski - Tech NorthWest Skillnet
Course - Tableau Advanced
Ability to direct the content covered to suit individual needs
Stefan Wroblewski - Tech NorthWest Skillnet
Course - Tableau Advanced
The number of working examples.
Sharon Clarke - Tech NorthWest Skillnet
Course - Tableau Advanced
The number of working examples.
Sharon Clarke - Tech NorthWest Skillnet
Course - Tableau Advanced
Learning the different ways to present data
