Course Outline
Introduction and Setup
Filtering, Sorting & Grouping
- Advanced methods for filtering and hiding data.
- Exploring various options for ordering and grouping datasets.
- Working with sorts, groups, bins, and sets.
- Understanding the interplay between these various options.
Managing Data in Tableau
- Distinguishing between dimensions and measures.
- Data types: discrete versus continuous.
- Joining database sources.
- Applying inner, left, and right joins.
- Blending multiple data sources within a single worksheet.
- Utilizing extracts rather than live connections.
- Identifying and addressing data quality issues.
- Handling metadata and sharing connections.
Data Calculations and Statistics
- Performing row-level calculations.
- Executing aggregate calculations.
- Applying arithmetic, string, and date calculations.
- Creating custom aggregations and calculated fields.
- Utilizing control-flow calculations.
- Understanding the underlying mechanics.
- Advanced statistical techniques.
- Handling dates and times.
Table Calculations
- Quick table calculations.
- Defining scope and direction.
- Applying addressing and partitioning.
- Implementing advanced table calculations.
Advanced Geo Techniques
- Constructing basic maps.
- Using geographic fields and map options.
- Customizing geographic views.
- Integrating Web Map Service.
- Visualizing non-geographical data using background images.
- Mapping best practices.
- Calculating distances.
Parameters in Tableau
- Creating parameters.
- Using parameters within calculated fields.
- Configuring parameter control options.
- Enhancing analysis and visualizations through 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.
- Annotations.
Telling a Data Story with Dashboards
- Dashboard framework design.
- Filter actions.
- Highlight actions.
- URL actions.
- Cascading filters.
Trends and Forecasting
- Understanding and customizing trend lines.
- Distributions.
- Forecasting techniques.
Integrating Tableau and R for Advanced Data Analytics
- Option to include specific data analytics methods in R upon participant request.
Requirements
- Familiarity with Tableau core concepts, including establishing data connections and creating basic visualizations.
- Hands-on experience with constructing dashboards and worksheets in Tableau.
- A foundational grasp of data analysis and visualization principles.
Target Audience
- Data analysts looking to elevate their Tableau expertise.
- Business intelligence professionals engaged in data visualization projects.
- Users with advanced skills in 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
