A brief summary of the topics covered in this Tableau course is as below. This is 16 hours course, it is suggested to complete this course in 1 week.

Basic Visualization using Tableau

  • Introduction to Tableau
  • Introduction to UI Interface
  • What is Data Analytics?
  • Why Data Visualization?
  • Why Tableau?
  • Tableau vs Excel and Power BI
  • Exploratory vs Explanatory Analysis
  • Getting Started with Tableau

Introduction and installation

  • Dashboarding & storytelling using Tableau
  • Talking about Business Intelligence
  • Tools and Methodologies used in BI
  • Why Visualization is getting more popular
  • Tableau Products
  • Tableau Architecture
  • BI Project Execution
  • Tableau Installation in local system
  • Introduction to Tableau Prep
  • Tableau Prep Builder User Interface
  • Data Preparation techniques using Tableau Prep Builder tool
  • How to connect Tableau with different data source

Visualizing and Analyzing Data with Tableau

  • Introduction
  • Bar Charts
  • Line Charts and Filters
  • Area Charts
  • Box Plots and Pivoting
  • Maps and Hierarchies
  • Pie Charts
  • Treemaps and Grouping
  • Dashboards – I
  • Visual Segments
  • Visual Analytics in depth
  • Filters, Parameters & Sets
  • Tableau Calculations using functions
  • Tableau Joins
  • Working with multiple data source (Data Blending)
  • Building Predictive Models
  • Dynamic Dashboards and Stories
  • Sharing your Reports
  • Tableau Server
  • User Security
  • Scheduling
  • Joins and Splits
  • Numeric and String Functions
  • Logical and Date Functions
  • Histograms and Parameters
  • Scatter Plots
  • Dual Axis Charts
  • Top N Parameters and Calculated Fields
  • Stacked Bar Charts
  • Dashboards – II and Filter Actions
  • Storytelling
  • Batting Performance Analysis
  • Additional Reading
  • Connecting to MySQL Workbench

LOD (Level of Details)

Data Mining With Tableau

  • Get the Dataset + Project Overview
  • Connecting Tableau to an Excel File
  • How to visualize an ad-hoc A-B test in Tableau
  • Working with Aliases
  • Adding a Reference Line
  • Looking for anomalies
  • Handy trick to validate your approach / data
  • Creating bins & Visualizing distributions
  • Creating a classification test for a numeric variable
  • Combining two charts and working with them in Tableau
  • Validating Tableau Data Mining with a Chi-Squared test
  • Chi-Squared test when there is more than 2 categories
  • Visualising Balance and Estimated Salary distribution
  • Chi-Squared Test
  • Section Recap

Data Storytelling

  • Introduction to Data Storytelling
  • Introduction to the Module
  • Pre-Read Assignment
  • What is Data Storytelling?
  • Importance of Data Storytelling
  • Characteristics of a Good Story with Data
  • What Makes Data Storytelling Difficult?

Components of a Good Story with Data

  • Essential Components of a Good Story with Data
  • Importance of Objective and Agenda
  • Five Patterns of Insights
  • Analysis Approach: Deriving New Columns
  • Analysis Approach: Summarizing Rows
  • Insight Overview
  • Structure and Flow
  • Pyramid Principle
  • Visuals
  • Importance of Visualization
  • Visualization of Quantitative Data
  • Visualization of Qualitative Variables
  • Visualization of Other Types of Information
  • Visualization of Advanced Analytical Techniques

Golden Rules for an Effective Data Storytelling

  • Introduction
  • Visual Design Principles and Storyboarding
  • Best Practices for Data Storytelling
  • Ideal Solution for the Home Loans Case Study