Tableau is a business intelligence software that visually represents data from varied sources to create interactive and shareable dashboards.

This tool has made the entire process of analyzing data and questioning your product-market fit, easier. It has various in-built FEATURES for data exploration without getting overwhelmed by the software elements.

Data visualization: RATHER than having complex computations over an Excel sheet, Tableau provides beautiful insights, data blending, and dashboarding derived from the data.

Create interactive visualizations: Tableau provides a drag-n-drop facility to quickly let the users interact with the data. You can check some of the templates created using tableau in the tableau gallery. 
With Tableau’s gallery of templates, you can choose your option and customize it. With data visualization features, you can easily embed tons of information in the form of infographics that appeals to the audience.

Ease of implementation: With drag-n-drop options, Tableau is reportedly easier to use. This is one such tool that you can learn without having any coding background or experience in Python, Business objects, or DOMO.
Handle large amounts of data: Tableau is competent enough to handle millions of ROWS without affecting the dashboard performance.

Integration of scripting languages: With Tableau, you can perform complex data computations using scripting languages like Python and R by IMPORTING some visuals or packages.

With much hype around data analytics and visualization, it is important to get well-versed with the tools simplifying the data journey. We have curated a list of interview questions ranging from beginner’s level to expert to help you land a job in your preferred expertise.