Tableau and Data Science

Introduction:
There are many data visualization tools that you can use to deal with data and make the most out of it. Among these tools, the tableau is also one of the best data visualization tools that are used by data science. Business professionals and data science of today use tableau to visualize data, create attractive dashboards, charts, and deduce results out of huge data and whatnot in an effective manner.
The use of tableau is not just limited to creating charts and traditional graphs. Instead with the help of tableau data scientists and business analysts are doing miracles that are contributing towards the development of our economy. So today, we are going to understand properly how tableau is used in data science.

How tableau is used in data science?
Tableau became popular when data scientists realized the wonders it can do with tons of data in lesser time. It stepped in to build a tool that non-programmers can use easily to pull out data from diverse sources. The tool was designed in a way to pinpoint data from not just diverse but the largest resources which were otherwise impossible before. Tableau has this ability to work out of the box dealing with more than fifty data sources.Tableau desktop specialist can easily use this software. Now imagine the amount of data you can gather from let’s say 5 to 10 sources. It would be big enough for you to take days to deal with it. But with tableau, you can deal with more than 50 sources effectively. Some of the names of these resources are as follows.

• Excel.
• Raw text files.
• Access.
• Hadoop.
• Any ODBC-compliant database.
• Amazon.
• Microsoft SQL Server.
• Salesforce.

And many more.
How does it work?
Now that you know tableau can deal with more than 50 data sources. So, let us understand how it works.
Whatever the resource you need to extract data from, tableau can do that for you. After that, you can create interactive visualizations using this data through simple tools. Whatever the numbers, figures, values, or what so ever-present in the data can come out in the form of representations. Now, this form is something that can be understood by even an average person. That is the reason why you need tableau. With tableau, you don’t have to put up a show and reveal your whole data in front of people to make them understand your point. Instead, tableau makes this data into a representable form that you can show others. You can make interactive dashboards, pie charts, bar charts, visualizations, and many more things using tableau just to make your data look more presentable and useful. Then you can easily deduce results out of it.
Conclusion:
Thus with tableau, you can extract data from almost any resource or platform and do your thing in less time and more efficiently. So we would suggest if you are interested in becoming a data scientist or a business professional where you have to deal with data all the time . Then learning to use tableau can make things quite easy for you and become a good tableau desktop specialist. So learn to use tableau now and never stop learning.