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Data Science Certification

Tableau is deeply related to Data Science, Data Science as very well-known with extracting the data and then analyzing it with different ways and methods including a lot of tools and techniques. Tableau is one of the major and very effective tools which is taught during the Data ScienceCertification course and undoubtedly very significant one too. We will be discussing here what is Tableau and how important it is for a Data Scientist to learn its depth so as to succeed in the field in Data Science.

What is Tableau?

DataScience Certification is not completed unless you learn Tableau, it’s a business intelligence tool which helps to analyze data in the form of visual manner. Like if there is any data available in the form of listing or any bulk form- be it Big Data, Hadoop, SQl and cloud database given, in order to present them through Charts, pie charts, infographics or any image, we can use  Tableau. There are 5 different tools are offered by Tableau- Tableau desktop, Tableau Online, Tableau Server, Tableau  Reader and Tableau Public.
How these tools play their roles in Data Science? The answer to this is, Tableau Desktop and Tableau Online is used to create a different type of report and other 3 are used to publish the reports. In order to show the report to somebody internally of externally Server, Reader and Public is used. This the influential tool offers amazing compatibility with any kind of database like- spreadsheet, BigData, Access Data Warehouse, Cloud application and many more, almost more than 50 types of the database you can connect, supporting the device- Desktop, Mobile and Tab.


Tableau chart creation requires to first forming Pivot Table, which has its key features with filters, columns, reports, and values to be filled. Here a very vital part comes on which Pivots Table functions that are dimensions and Measures. Pivot Chart data is divided into two categories for easy understanding Dimensions are all the words part and Measures are number/digits. Dimensions/Words include text, geographical things, etc. comes under this heading and figures and float values are under the shelter of Measures. Using dimensions and measures you can create the tableau chart, Tableau offers 24 different types of chart that can be created which are listed as-


1.      Text Table (Crosstab)
2.      Heat Map
3.      Highlight Table
4.      Symbol Map
5.      Filled Map
6.      Pie Chart
7.      Horizontal Bar Chart
8.      Stacked Bar Chart
9.      Side-by-Side Bars
10.  Treemap
11.  Circle Views
12.  Side-by-Side Circle Views
13.  Lines (continuous & discrete)
14.  Dual Lines
15.  Area Charts (continuous & discrete)
16.  Line Chart Extra
17.  Dual Combination
18.  Scatter Plot
19.  Histogram
20.  Box-and-Whisker Plot
21.  Gantt
22.  Bullet Graphs
23.  Packed Bubbles

Above listed Charts basically help to recognize the different type of data depending upon the kind of project and it’s easy to connect and understand. And it doesn’t take a lot of time to form these charts, once you are though and in practice of Tableau tool. Data Science Certification Course tool helps in not only the external project but equally helpful to for internal use of analyzing the employee's performance, salary track, company growth and much more like this.

 Source Link: DataScience Course in Pune, Data Science Course, Data Science certification, datascience certification in Pune, Data Science Training, Data science training in Pune

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