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What you'll learn?
- How to obtain and install Tableau Software
- How to load data from different Data Sources into Tableau
- How to create Data Visualisations using Tableau
Course Overview
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 is an Introductory Course on Tableau. This course explore all the needed Basics of 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.
This course was created during the lockdown due to Coronavirus pandemic. So, this course uses a dataset on Coronavirus.
Pre-requisites
- Should have Microsoft Excel
- No prerequisites
Target Audience
- Entrepreneurs
- Executives
- Managers
- Data Scientists
- Researchers
- Students
Curriculum 21 Lectures 01:22:38
-
Section 1 : Welcome to the Course
- Lecture 2 :
- Introduction - Part 2
-
Section 2 : Getting Started
- Lecture 1 :
- Installing Tableau Desktop
-
Section 3 : Uploading Data into Tableau
- Lecture 1 :
- Uploading Data from Excel Files
- Lecture 2 :
- Uploading Data from CSV Files
- Lecture 3 :
- Uploading Data from Database Server
-
Section 4 : Visualising Data with Tableau
- Lecture 1 :
- Creating a Bar Chart - Part 1
- Lecture 2 :
- Saving Work
- Lecture 3 :
- Using Parameters
- Lecture 4 :
- Adding Titles to the Charts
- Lecture 5 :
- Creating Pie Chart
- Lecture 6 :
- Duplicating a Worksheet
- Lecture 7 :
- Adding a Trend Line
- Lecture 8 :
- Plotting Data on Maps
- Lecture 9 :
- Additional Information on Worksheets
- Lecture 10 :
- Using R Programming and Tableau together
- Lecture 11 :
- Creating a Dashboard
- Lecture 12 :
- Creating a Bar Chart - Part 2
- Lecture 13 :
- Creating a Bar Chart - Part 3
-
Section 5 : Course Closure
- Lecture 1 :
- Next Steps
- Lecture 2 :
- About Me (Optional)
Our learners work at
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Instructor
45956 Course Views
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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 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 been working on fine tuning the algorithm for an 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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