To the layman’s eye, data is nothing but an encumbered mess of numbers, digits and strings with vast rows and confusing columns. It is a great responsibility upon any data scientist or even a person presenting a PowerPoint in a business meeting to interpret any convoluted statistics and presenting the golden nugget of ‘information’ in a manner that is coherent and concise. Data interpretation interlocks with data visualization to ensure that anything that seems too redundant, massive or significant catches the eyes of the right stakeholders and isn’t neglected. One such software that helps in this is Tableau.

Why Learn Tableau  

True to its name, Tableau is an open source software that works on a script combining several popular languages to easily represent large datasets in a nick of time by simply dragging and dropping parameters against each other. Other than being highly preferred by companies as a marketable skill, Tableau has become quite popular amongst coders and novice data science programmers for its ease of function and well executable files which can be added to presentations, videos and even be used to create interactive statistical reports. 

Tableau should be a definitive addition to any person interested in making data more presentable and is bogged down from deciding which chart or graph to use for a particular dataset. 

What Training Will Include   

  Students will be first taught about the layout for the software where datasets of various file formats and extensions will be uploaded. The data will then be displayed in the Tableau environment subject to which users can edit and manipulate it before finalizing it for processing. 

In the processing tab, students will be familiarized with the rows and columns structures of the environment along with the system of combining measures with parameters. On simply dragging and dropping a column vector into the main window, a dialog box will pop up allowing the user to select from various sorts of representation schemes which can be edited on the basis of other parameters by color, size and number as well as other conditions. 

On creating several such representation tabs, students will then be directed to create a portfolio containing all the previously created tabs and learn on how to post them in various media formats. 

How Tableau Helps Students 

Data interpretation and visualization is a key step in the data journey. Not everyone sees what the data scientist sees which is why it becomes important to represent data by condensing it to its necessary portions. Tableau is a powerful tool that is quickly gaining traction as a necessary software not just for data scientists but for those stepping into the business and engineering realm as well. 

Its simplicity and user friendly software allows for users to master the craft in no time and add another marketable skill to their forte. Combined with a compatible environment that runs with all operating systems and even online applications, Tableau has a rich community of users and students who feel at home using a software that isn’t wrought with extensive coding, absent UIs or complex formats. Tableau training is thus an essential rung in the ladder for any student on the data journey.