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  • How to obtain and install Tableau Software
  • How to load data from different Data Sources into Tableau
  • How to create Data Visualisations using Tableau

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.

  • Should have Microsoft Excel
  • No prerequisites
  • Entrepreneurs
  • Executives
  • Managers
  • Data Scientists
  • Researchers
  • Students
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  • Section 1 : Welcome to the Course 2 Lectures 00:03:21

    • Lecture 1 :
    • Lecture 2 :
    • Introduction - Part 2
  • Section 2 : Getting Started 1 Lectures 00:04:18

    • Lecture 1 :
    • Installing Tableau Desktop
    • In this video, we discuss how to install Tableau Desktop on a Mac machine. The process will be similar (but not exactly the same) for Windows Machines as well.
  • Section 3 : Uploading Data into Tableau 3 Lectures 00:10:07

    • Lecture 1 :
    • Uploading Data from Excel Files
    • In this video, we discuss how to load data from Excel Files into Tableau.
    • Lecture 2 :
    • Uploading Data from CSV Files
    • In this video, we discuss how to load data from CSV Files into Tableau.
    • Lecture 3 :
    • Uploading Data from Database Server
    • In this video, we discuss how to load data from a Database Server into Tableau.
  • Section 4 : Visualising Data with Tableau 13 Lectures 00:56:09

    • Lecture 1 :
    • Creating a Bar Chart - Part 1
    • We start our Data Visualisation journey using Tableau by creating a Bar Chart.
    • Lecture 2 :
    • Saving Work
    • In this video, we discuss how to save work in Tableau.
    • Lecture 3 :
    • Using Parameters
    • In this video, we discuss how to use parameters in Tableau.
    • Lecture 4 :
    • Adding Titles to the Charts
    • In this video, we discuss how to add titles to the Charts in Tableau.
    • Lecture 5 :
    • Creating Pie Chart
    • In this video, we discuss how to create a Pie Chart using Tableau.
    • Lecture 6 :
    • Duplicating a Worksheet
    • In this video, we discuss how to Duplicate a Worksheet in Tableau.
    • Lecture 7 :
    • Adding a Trend Line
    • In this video, we discuss how to Add Trend Lines in Tableau. Also, we discuss how to make forecasts based on the provided data using Tableau.
    • Lecture 8 :
    • Plotting Data on Maps
    • In this video, we discuss how to plot data on Maps using Tableau.
    • Lecture 9 :
    • Additional Information on Worksheets
    • In this video, we discuss what additional information regarding a Worksheet we get or can add in Tableau.
    • Lecture 10 :
    • Using R Programming and Tableau together
    • In this video, we see how we can use R programming for data rearrangement and Tableau for visualising the rearranged data.
    • Lecture 11 :
    • Creating a Dashboard
    • In this video, we discuss how to create Dashboards in Tableau.
    • Lecture 12 :
    • Creating a Bar Chart - Part 2
    • Lecture 13 :
    • Creating a Bar Chart - Part 3
  • Section 5 : Course Closure 2 Lectures 00:08:43

    • Lecture 1 :
    • Next Steps
    • Lecture 2 :
    • About Me (Optional)
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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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