Course Outline
Introduction and Getting Started
Filtering, Sorting & Grouping
- Advanced options for filtering and hiding data.
- Exploring various options for ordering and grouping your data.
- Mastering Sort, Groups, Bins, and Sets.
- Understanding the interrelation between all options.
Working with Data in Tableau
- Distinction between Dimensions and Measures.
- Data types and the difference between Discrete and Continuous fields.
- Joining database sources.
- Understanding 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.
- Creating custom aggregations and calculated fields.
- Control-flow calculations.
- Behind-the-scenes mechanics.
- Advanced Statistics.
- Working with dates and times.
Table Calculations
- Quick table calculations.
- Understanding scope and direction.
- Addressing and partitioning.
- Advanced table calculations.
Advanced Geo Techniques
- Building basic maps.
- Utilizing geographic fields and map options.
- Customizing geographic views.
- Integrating Web Map Service.
- Visualizing non-geographical data using background images.
- Mapping tips and tricks.
- Performing distance calculations.
Parameters in Tableau
- Creating parameters.
- Using parameters in calculated fields.
- Exploring parameter control options.
- Enhancing analysis and visualizations with parameters.
Building Advanced Chart Visualizations
- Bar chart variations – bullet, bar-in-bar, and highlights charts.
- Date and time visualizations, including Gantt charts.
- Stacked bars, treemaps, area charts, and pie charts.
- Heat maps.
- KPI charts.
- Pareto charts.
- Bullet charts.
Advanced Formatting
- Labels.
- Legends.
- Highlighting techniques.
- Annotations.
Telling a Data Story with Dashboards
- Dashboard framework and structure.
- Filter actions.
- Highlight actions.
- URL actions.
- Implementing cascading filters.
Trends and Forecasting
- Understanding and customizing trend lines.
- Analyzing distributions.
- Forecasting techniques.
Integrating Tableau and R for Advanced Data Analytics
- Exploring the possibility of including various data analytics methods from R upon participant request.
Requirements
- Foundational knowledge of Tableau, including data connections and basic visualization techniques.
- Practical experience in creating dashboards and worksheets in Tableau.
- Basic understanding of data analysis and data visualization principles.
Target Audience
- Data analysts looking to expand their Tableau expertise.
- Business intelligence professionals involved with data visualization.
- Users proficient in advanced Excel or reporting tools who are transitioning to Tableau.
Testimonials (7)
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
Katie Matthews - Quofox GmbH
Course - Tableau Advanced
all the materials and how the trainer teach
