Tableau 10.x : Visual Analytics

Tableau 10.x : Visual Analytics

Tableau 10.x : Visual Analytics

Tableau is a Business Intelligence tool for visually analysing the data. Users can create and distribute interactive and shareable dashboards which depict the trends, variations and density of the data in form of graphs and charts. Tableau can connect to files, relational and Big data sources to acquire and process data. The software allows data blending and real time collaboration, which makes it very unique. It is used by businesses, academic researchers and many governments to do visual data analysis. It is also positioned as a leader Business Intelligence and Analytics Platform in Gartner Magic Quadrant.


This tutorial is designed for all those readers who want to create, read, write, and modify Business Intelligence Reports using Tableau. In addition, it will also be quite useful for those readers who would like to become a Data Analyst or Data Scientist.


Before proceeding with this tutorial, you should have a basic understanding of Computer Programming terminologies and Data analysis. You should also have some knowledge on various types of graphs and charts. Familiarity with SQL will help you learn it very fast.


  1. Tableau 10 : Visual Analytics Introduction

    1. What is visual analytics?

    2. Strengths and weaknesses of the human visual system

    3. The analytical process

  2. Visual mapping techniques

    1. Working with human perceptual and cognitive processes

    2. Encoding data into visual form

    3. Working with color

  3. Problem Solving Techniques

    1. Displaying time series data beyond the line chart

    2. Comparing categories and measures

    3. Mapping

    4. Precision and detail

  4. Displaying your findings

    1. Fine-tuning for more effective visualization

    2. Storytelling and guided analytics

    3. Dashboards Development

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