Tableau is one of the simplest data related tools and, as a result of that, often overlooked. A lot of people think twice or think otherwise before taking up Tableau training. It is often heard that this tool does not do much other than creating some “pretty graphs”. So, do you, a data science aspirant, need to learn Tableau? Well, you can fit a nail with bare arms but using a hammer could not hurt. The answer is yes. When it comes to the storytelling aspect of a data scientist’s job, Tableau comes really handy.
It cannot do everything but it is good for a specific job
You cannot use it for cleaning or reshaping data, nor can it handle offline algorithms or procedural computation. There are tools like R and Python to do these jobs. What it is best for is data visualization; it helps you reformulate the query after each visualization. Tableau is a good addition to your repertoire even if you are champion with R and Python; that is why it focuses on interfacing with Python and R rather than replacing them.
It seems to be the right medium of communication
You cannot always expect your audience to be ‘data people’. They usually appreciate if your findings are presented in a digestible manner and in a format that is easy to view. They hardly care about what tools you use as long as the results are comprehensible, engaging and viewer friendly. Your BI reports can really look great with the help of Tableau.
Businesses are integrating Tableau with rapidity
Tableau is simple, easy to use and really does its job well; a great tool for those who find it hard to make time to learn programming. The analytics market has embraced Tableau across the world. If you are working with people that use this tool, being knowledgeable will really help you get along. The best part is that it is easy to take up Tableau and you will thoroughly enjoy the climb toward being a master user.
Let us put the benefits of getting Tableau training in a nutshell.
It helps you create a great deliverable every time and that also in brisk speed.
You can build and edit interactive dashboards.
You can run minor analytics on Tableau and if you need heavy analytics work you can connect it to R and yet get the visualization on Tableau.
You become a part of an extremely passionate and ever enlarging fan base.
Since you are reading this it can be assumed that you are a data science or analytics aspirant. Well, the thing that is going to get you close to your goal is your keenness to learn. I understand that you risk a fair amount of time and money when you decide to learn something new. Let me assure you that Tableau training does not risk too much either of that money or time; and the opportunities that you might find on the other side are completely worth.