Tableau Training

Tableau Fundamentals

Two-day course

Learn the essentials of Tableau Desktop. This course is aimed at anyone who works with data, including people without an analytical or technical background. During the two-day course we explore the tool and run through the fundamental techniques for visualizing data. We learn to link together subcomponents in order to build informative and visually interesting dashboards.

You will learn how to:

  • Link up with different data sources
  • Modify and save a data source
  • Understand Tableau terminology
  • Use Tableau’s interface for creating powerful visualizations
  • Create basic calculations, your own aggregations and ratios, and modify dates and Quick Table Calculations
  • Build and share dashboards
  • User groups, bins, hierarchies, sorting, sets and filters to produce effective visualizations
  • Use “Measure Names” and “Measure Values” to create visualizations with several measurements and dimensions
  • Handle changes in the underlying data source such as new fields, the removal of fields and name changes
  • Share your visualizations with others
  • Compile your visualizations into interactive dashboards and publish them online

Types of diagram covered by the course:

  • Cross tables
  • Pie charts and bar charts
  • Maps
  • Dual-axis and combination charts with mixed graph types
  • Heat maps
  • Highlight tables
  • Tree maps
  • Scatter plots

Tableau Advanced

Two-day course

This course helps you to develop your Tableau Desktop skills. It`s aimed at people who have worked with Tableau and who want to progress to the next level. You should be able to build basic dashboards, know how different components interact with each other and want to get further when you run into more complex challenges.

You will learn how to:

  • Build advanced graphs and visualizations
  • Use complex calculations
  • Use statistical methods to analyse data
  • Use parameters for input to give users more control over the analysis
  • Implement advanced geographical mapping techniques and use your own images to build spatial visualizations of non-geographic data
  • Prepare data for analysis
  • Combine data sources using data blending
  • Combine data from several tables using joins
  • Increase performance in your visualizations using the data engine, extracts and effective linking methods
  • Build better dashboards by using methods for guided analytics, interactive design and visual best practice
  • Work with individual and multiple data sources
  • Perform calculations in Tableau
  • Perform advanced table calculations and level-of-detail calculations
  • Create and using parameters
  • Work with a subset of your data
  • Perform geographic coding
  • Carry out distributions of data
  • Perform statistics and prediction
  • Make dashboards and stories