Advanced Tableau Training

Course 1257

  • Duration: 3 days
  • Labs: Yes
  • Language: English
  • Level: Advanced

This Advanced Tableau course will build on what you learned in the introduction course 1256, Tableau Visual Analytics Training, and enhance your knowledge up to the level of a Tableau Qualified Associate.

Advanced Tableau Delivery Methods

  • In-Person

  • Online

Advanced Tableau Course Benefits

Implement Tableau’s best practicesReview calculations and implement your ownWork with calendar data and use fiscal datesWork with advanced geographical dataCreate advanced charts and tablesDevelop dashboards using best practicesUtilize Tableau prep to prepare data in its various forms

Gain a firm understanding of the best practices required when creating visualizations and dashboards

Learn about advanced calculations, including table calculations and level of detail calculations

Use advanced date and time handling and advanced mapping data

Continue learning and face new challenges with after-course one-on-one instructor coaching

Advanced Tableau Course Outline


  • Creating Visualizations - best practices
  • Review of Calculations
  • Advanced Table calculations
  • Level of Detail Calculations
  • Discrete vs Continuous time-based data
  • Creating alternative calendars – i.e. Fiscal
  • Mapping geographical data
  • Custom SQL
  • Stored Procedures
  • Parameters
  • Best practices for creating dashboards
  • Building advanced dashboards
  • Best practices for data prep
  • Cleaning Data
  • Shaping Data
  • Combining Data

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Advanced Tableau Course FAQs

Whether your data is in an on-premise database, a database, a data warehouse, a cloud application or an Excel file, you can analyze it with Tableau. You can create views of your data and share it with colleagues, customers, and partners. You can use Tableau to blend it with other data. And you can keep your data up to date automatically.

Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g. points, lines or bars) contained in graphics.

Data modelling is the analysis of data objects used in a business or other context and identifying the relationships among these data objects. Data modelling is a first step in doing object-oriented programming.

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