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Introduction to Tableau

Tableau is a strong data visualisation application that is rapidly gaining in popularity. Tableau is a business intelligence platform that allows us to see raw data in the form of a graph, report, or other visual representation.

You can use Tableau if you have any data, such as Big Data, Hadoop, SQL, or cloud data, and you want to analyse it in the form of a pictorial depiction of data

Tableau allows you to quickly analyse data and produce visuals in the form of worksheets and dashboards. The data created with Tableau may be understood by anyone.

Why would you want to utilise Tableau?

  • Tableau is useful for a variety of purposes.
  • Data Science's ultimate skill
  • User-Friendly
  • Apply to any type of company
  • Quick and simple
  • You do not need to know how to code.
  • The Community is Massive
  • Data holds the power.
  • It makes the Data Reports easier to comprehend and discuss.

Why should you take Tableau

Tableau is a powerful tool for quickly producing interactive data displays. It's incredibly straightforward and user-friendly. Tableau can build complicated graphs that look similar to Excel's pivot table graphs. It can also process a lot more data and perform calculations on large datasets very quickly.

Frequently Asked Questions

In the Business Intelligence Industry, Tableau is a strong and rapidly developing data visualisation application. It assists in the conversion of raw data into a format that is easy to understand. Tableau aids in the generation of data that specialists at all levels of an organisation can grasp. Non-technical people can easily develop customised dashboards.

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  • Data Analyst
  • Business Analyst
  • Tableau Consultant
  • Business Intelligence Developer and Manager

Tableau is an excellent alternative if you want to advance your career and become one of the highest-paid professionals in a prominent firm. Furthermore, learning Tableau has no prerequisites. As a result, anyone with any background or knowledge may learn Tableau and pursue a career in it.

We provide 100% placement assistance to students who enrol in our specialized courses. Our Placement assistance starts with Training, Mock Interviews, Aptitude Tests, Resume preparation, and Interviews. We will provide unlimited placement assistance till the student gets placed satisfactorily.

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Freshers - Tableau Interview Questions and Answers

Following data types are supported in Tableau:

  • Geographical values (used with maps)
  • Text (string) values
  • Date and time values
  • Boolean values (relational only)
  • Date values
  • Numerical values

One of the most common Tableau interview questions is this one. And you must attempt to provide a complete response to this one! Tableau filters limit the type of data that can be entered into a Tableau workbook, dashboard, or view.

  • Context filters
  • Data source filters
  • Filters on dimensions
  • Extract filters
  • Filters on measures
  • Table calculation filter

is one of the most common Tableau interview questions, and you should prepare a thorough response.


The.twbx file provides all of the information needed to create the visualisation, as well as the data source. This is known as a packed workbook, and it compresses the entire package of files.


The.twb file has instructions for interacting with the data source. When creating a visualisation, Tableau examines the data source before creating the visualisation using an extract. It can't be shared by itself because it only includes instructions and the data source must be added separately.

The examination of data items utilised in a business or other setting, as well as the identification of relationships between these data objects, is known as data modelling. Object-oriented programming begins with this stage.