Tableau is an excellent tool for data analysis but it is not the only one. There are many other tools such as Python, R, MatLab, SAS and more which can work with data in the same way as Tableau. But, tableau’s strength lies in its ease of use and its ability to visualize data in a way that makes it easy for users to understand it. It also allows you to combine multiple data sources together into one visualization. This means that you can get more out of your data by combining different sources and using Tableau to visualize them all together. This all makes tableau an important part of Data Science as Tableau is the tool which is mostly used in this field for data visualization and analysis.
Tableau is often referred to as a “data viz” tool because it lets you create visualizations based on your data. However, it does not just provide a simple chart or graph view of your data; instead, it lets you create sophisticated dashboards that give users information about their business at a glance.
If you feel satisfied, Why tableau is important in data science and looking to learn more about tableau, you can check out the tableau certification course provided by Intellipaat.
Watch the video to see how Shrikant Bhatia developed his Tableau skills.
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