Visualising Data using Tableau
Introductory Course on Data Visualisation using Tableau Desktop
Updated on Sep, 2023
Language - English
Given a dataset, the first step is to be able to visualise 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 visualise data. Fortunately, we have tools like Tableau, using which data visualisation 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 Visualisations possible using Tableau through an example.
The course also delves into some advanced topics like reorganising data using R Programming and then visualising it using Tableau.
The course has been designed for Executives and Managers. Every Executive and Manager has to deal with 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 hypothesis 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.
Tableau is a modern tool for Data Visualisation. As of 01-Aug-2019, Tableau has been acquired by Salesforce. It is developed by Researchers who specialised in Visualisation Techniques for exploring and analysing Relational Databases and Data Cubes. Tableau products query relational databases, online analytical processing cubes, cloud databases, and spreadsheets to generate graph-type data visualisations. 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.
This course was created during the lockdown due to Coronavirus pandemic. So, this course uses a dataset related to Coronavirus.
What will you learn in this course:
- How to obtain and install Tableau Software
- How to load data from different Data Sources into Tableau
- How to create Data Visualisations using Tableau
What are the prerequisites for this course?
- No prerequisites
Check out the detailed breakdown of what’s inside the course
Welcome to the Course
- Introduction 03:09 03:09
Uploading Data into Tableau
Visualising Data with Tableau
Partha started his career in 1989 as a programmer. In his first assignment, he was involved in development of a Cricket Tournament management system as a part of the team from Centre for Development of Telematics (C-DOT) requested by the Prime Minister of India, Mr. Rajiv Gandhi. Since then Partha has developed Tea Garden automation solution, Hospital Management solution, Travel Management solution, Manufacturing Resource Planning (MRP II) solution, Insurance Management solution and Tax automation solution (for Government of Thailand).
Partha got involved in Telecom solution with project from Total Access Communications, Bangkok in 1996. Partha developed the completed solution architecture and designed & developed the complete infrastructure services and primitives on top of which the end-to-end Customer Care and Billing solution was developed between 1996-1998.
Partha has worked for companies including Amdocs, Portal, Siemens and has developed key components of their solutions. For Siemens, Partha developed the complete BSS suite.
Partha worked with Mobily, Saudi Arabia as the Enterprise Architect and has first-hand of experience of work inside a Telecom Operator.
Partha started his own company, Majumdar Consultancy Pvt Ltd, in 2014. He partnered with a Dubai based businessman to open SI Solutions India Pvt Ltd in 2016. In 2019, he joined Tools and Solutions, Saudi Arabia as Director - Professional Services to establish the Professional Services business.
Partha has recently developed a Remote Control, which can be controlled from a Web Site. The Remote Control can in turn control any device. The Remote Control to be controlled needs having Infra-Red sensing capabilities. The Remote Control is controlled through DragonBoard 410C through a Android Program.
Partha has been working on fine tuning the algorithm for a Access Control System through Face Recognition. The program has been developed using Convolutional Neural Network (CNN).
Partha has also developed a software which tries to predict the Stock Market. The solution has been developed using Recurrent Neural Network (RNN). The solution presently predict with an accuracy of 77%.
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