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+46 (0)8 506 668 00
+46 (0)8 506 668 00

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 Information

In this course, you will learn how to:

  • Implement Tableau’s best practices
  • Review calculations and implement your own
  • Work with calendar data and use fiscal dates
  • Work with advanced geographical data
  • Create advanced charts and tables
  • Develop dashboards using best practices
  • Utilize 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

Prerequisites

Experience with Tableau at the level of Learning Tree course 1256, Tableau Visual Analytics Training.

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
Get This Course 26 110 kr For Team Prices Call: +46 (0)8 506 668 00
  • 3-day instructor-led training course

  • End-of-course Learning Tree exam included

  • After-course instructor coaching benefit

Get the Advantage 37 295 kr
  • Take this course and gain unlimited access to more than 300 virtual instructor-led courses
  • Future-proof your career with more than 100 sought-after certifications in the market
  • Build real skills through hands-on learning in more than 180 virtual labs
  • Grow your skills and capabilities with more than one course at a time and save
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  • feb 12 - 14 15:00 - 22:30 CET
    Herndon, VA or Virtual
  • mar 5 - 7 10:00 - 17:30 CET
    London or Virtual
  • mar 5 - 7 9:00 - 16:30 CET
    Stockholm or Virtual
  • mar 26 - 28 14:00 - 21:30 CET
    Herndon, VA or Virtual
  • maj 28 - 30 10:00 - 17:30 CEST
    London or Virtual
  • maj 28 - 30 15:00 - 22:30 CEST
    Herndon, VA or Virtual
  • maj 28 - 30 9:00 - 16:30 CEST
    Stockholm or Virtual
  • jul 16 - 18 15:00 - 22:30 CEST
    Herndon, VA or Virtual
  • aug 27 - 29 9:00 - 16:30 CEST
    Stockholm or Virtual
  • aug 27 - 29 10:00 - 17:30 CEST
    London or Virtual
  • sep 10 - 12 15:00 - 22:30 CEST
    Herndon, VA or Virtual

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  • Bring this or any training to your organization

  • Full-scale program development

  • Delivered when, where, and how you want it
  • Blended learning models
  • Tailored content
  • Expert team coaching

Get the Advantage 37 295 kr
  • Take this course and gain unlimited access to more than 300 virtual instructor-led courses
  • Future-proof your career with more than 100 sought-after certifications in the market
  • Build real skills through hands-on learning in more than 180 virtual labs
  • Grow your skills and capabilities with more than one course at a time and save
Thank you for choosing subscriptions!
#1257
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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.