Simmer you data science recipe with Tableau (Part 3)

Tableau is the fastest-growing data visualization tool software. It is commonly used toolbox used by business intelligence industry experts. Data Analysis is much faster in tableau. The visualizations are created like worksheets. It helps in managing and simplifying raw data into an easily understandable format. A person with zero technical skills could operate and represent their data with tableau.

Most of the Business Intelligence experts use tableau because of these key features

Why learn tableau?

Tableau seems to be quicker than any other language’s toolbox. The tools can be used without any prior coding knowledge. Most suitable for quick and easy representation of big data which helps in resolving the big data issues. It works best for real-time analysis and works for data blending.

Why choose Tableau?

Importance Of Tableau

1. The user-friendly approach makes a way better for tableau. A person with zero or no prior technical knowledge could easily understand and represent their data with tableau with keen data visualizations.
2. Tableaus integrated with over 250+ applications.
3. Adding datasets in tableau would be easier as compared with others. Not just adding datasets data blending is pretty much easier.
4. Tableau collaborates with the data that are from disparate sources. Tableau can help you in exploring in-depth data insights. That would make it possible for real-time data.

Why use Tableau?

Key features of Tableau

1. Tableau is basically a data visualization tool which provides pictorial and graphical representations of data.
2. It provides the perfect visualization tool used for analysis.
3. In Tableaus, you are free to explore data which are unpredictable before. With the in-built features like data blending and drill-down determines the variations and data patterns.
4. We can create, save and apply changes to make in our worksheets and dashboard. Despite this, they could use it for sharing the reports. This key feature makes it more interactive for users.
5. The spreadsheet(MS-Excel) application used for manipulating the data while Tableau is a perfect visualization tool used for analysis.

Conclusion

Pros:

Tableau extracts the data stored in various resources. Data from any platform could be easily pulled out. A simple and structured database such as an excel, pdf in tabular form to a complex and unstructured database like Oracle, a database in the cloud such as AWS, Microsoft Azure SQL database, Google Cloud SQL can be extracted by Tableau.

Cons:

It works moderately in speed. Though, it has the options to optimize, unlike excel. Moreover, it is expensive and less securable as permissions are inbuilt. Also, it has embedment issues.

Top courses to learn Tableau

• Data science A to Z by Udemy.
• Data visualization with Tableau by Coursera.
• Data Visualization with tableau by Udacity.

Keep Exploring!