Data Visualization Using Tableau

Data visualization refers to the graphical representation of data and the results of data analysis, to derive meaningful insights for better decision making. In this module, you will learn everything that is to be known about Data Visualization. You will be able to answer questions like: What is Data Visualization?, Why do we need Data Visualization?, How to create views?., etc. You will be introduced to Data Visualization principles and best practices.

Tableau is a Data Visualization tool that has been in the Leader’s Quadrant in Gartner’s Magic Quadrant for many years. Tableau Desktop is the authoring and publishing tool that is used to create and share views. In this module, you will get familiar with Tableau User Interface, different components, and terminologies in Tableau. You will learn different methods available to save and share the work created in Tableau. You will understand Tableau Architecture.

Visual Analytics is the science of generating charts, graphs, views, and maps. This module will help you create basic charts in Tableau like Text Tables, Highlight Tables, Bar Charts, Side by Side Bars, Stacked Bars, Line Charts, Area Charts, Circle Views, and Pie Charts. You will also learn about Exploratory data analysis using Tableau.

Customer data these days need not come from a single system, it could be split across multiple databases in multiple systems (heterogeneous systems). This module will help you master the data connectivity options available in Tableau which includes Single Database Joins, Multiple Database Joins, Unions, Data Extraction and Data Blending.

The scope of Data Visualization is seamless. This module will introduce you to Advanced and Custom charts in Tableau like Scatter Plots, Histograms, Box Plots, Pareto Charts, Animation Charts, etc. You will also learn about Statistical Analysis features of Tableau like Trend Analysis and Distribution Analysis.

Applying filters limits the amount of data to include specific fields and records that meet certain criteria. You will learn everything that is to be known about Filters in Tableau here. Dimension Filters, Measure Filters, Date Filters applied at different levels like Tableau Data source level, Extract level and Worksheet level. You will learn about Tableau Quick Filters and Interactive Filters.

Creating groups will help you put similar members together. Set is a collection of well-defined objects which can be created based on computations. Calculations will help you manipulate the data and transform the data into the desired format. LOD (Level of Detail) expressions will help perform calculations at a desired level of detail, different from the default used in Tableau, to meet the requirements given.

Anything and everything there is to know about Geographic Maps in Tableau is included in this Module. A Geo-Spatial analysis is a great way to represent geographic data, as it adds rich context to the data being represented through Maps. Tableau has its own Geocoding data which helps it handle Geoinformation beautifully. You will learn how to add context to the data that might not be geographical by representing it on Custom Background Images.

The Dashboard is a real-time, easy to read user interface that presents data graphically. It is a collection of views, filters, parameters, and images that work closely and are arranged on a single canvas. The story is a narrated walk through or a guided analytics platform where the business users can see their data and get answers to all their questions. You will learn how to create Dashboards, how to make them Interactive, adding objects to the dashboard, designing Dashboards for different devices and creating stories.