Given a dataset, the first step is to be able to visualize the data before we can make any kind of analytics - predictive or prescriptive - based on the data and/or test any hypothesis. Generally, it takes a decent amount of programming to be able to visualize data. Fortunately,  we have tools like Tableau, using which data visualization is very easy and needs no programming.

This is an introductory course on Tableau. This course explores various aspects regarding using Tableau; from getting the software, installing it, loading data, and creating Data Visualisation. The course discusses various data visualizations possible using Tableau through an example.

The course also delves into some advanced topics like reorganizing data using R Programming and then visualizing it using Tableau.

Tableau is a modern tool for data visualization. As of 01-Aug-2019, Tableau has been acquired by Salesforce. It is developed by researchers who specialized in visualization techniques for exploring and analyzing relational databases and data cubes. Tableau products query relational databases, online analytical processing cubes, cloud databases, and spreadsheets to generate graph-type data visualizations. The products can also extract, store, and retrieve data from an in-memory data engine. Tableau software is available as a desktop version and as an online version.

Who should take this course?

The course has been designed for executives and managers. Every executive and manager has to deal with an enormous amount of data. Tableau gives a way to quickly make meaning out of this pile of data. The course is also ideal for researchers and data scientists who want to test hypotheses on the data they are dealing with without any programming. The course can be used by students for their academics and for their upcoming career works.

This course was created during the lockdown due to the coronavirus pandemic. So, this course uses a dataset related to coronavirus.