Data Reporting and Visualisation with Tableau

This course helps you understand and use the important concepts and techniques in Tableau to move from basic to complex visualisations, and equips you with the skills of combining data visualisation in interactive dashboards.

Module 1: Fundamentals of Visualization with Tableau
Introduction to data visualization
Intro to data visualization
What is data visualization and why do we do it?
Tools for data visualization
Installing Tableau
Creating your first visualization
Module 2: Exploring and navigating Tableau
Exploring and Navigating Tableau Overview
Importing Visualizations
Navigating the Tableau Public’s Software
Module 3: Making Data Connections
Making Data Connections Overview
Preparing Your Data for Import
Primary Types of Connections
Preparing Your Data for Tableau Public
Connecting and Merging Multiple Data Sources
Module 4: Context of Data visualization and Course Wrap-up
Context of Data Visualization Overview
The “Who, What, and How” of Data Visualization
Illustration of the “Who, What, and How”
Context of Data Visualization
Module 5: Essential Design Principles for Tableau
Effective and ineffective visuals
The Human Brain and Data Visualization
Cognitive vs Perceptual Design Distinction
Introduction of Effective and Ineffective Visuals
Types of Visualizations
Examples of the Types of Visualizations in Tableau
Practicing Good Ethics in Data Visualization
Ineffective Visuals and How to Improve Them
Module 6: Visual Perception and Cognitive Load
Visual Perception and Cognitive Principles Introduction
Cognitive Load and Clutter
Principles of Visual Perception
Strategic Use of Contrast
Pre-Attentive Attributes of Visualizations
Colour as a Pre-Attentive Attribute
De-Cluttering ExerciseModule
Module 7: Design Best practices and Exploratory Analysis
Design Best Practices Introduction
Gestalt Principle: Proximity
Leveraging Pre-Attentive Attributes
Accessible Visualizations
Aesthetics
Design and Exploratory Analysis Introduction
What is Exploratory and Explanatory Analysis?
Study Case Analysis
Identifying Outliers
Constructing a Control Chart
Module 8: Design for Understanding
Design for Understanding Introduction
Know Your Audience(s)
Design for Purpose
Data, Relationships, and Design
Static Versus Interactive Visualizations
Multiple, Connected View
Language, Labeling, and Scales
Visual Lies and Cognitive Bias
Module 9: Visual Analytics with Tableau
Charting
Visual Analytics with Tableau Introduction
Introduction to Charting
Tableau Charts
Colors, Shapes, and Sizes
Dual Line Charts
Tableau Tooltip
Charting Guidelines: Bar Charts, Line Graphs, Pie Charts
Charting Guidelines: Maps, Scatter Plots, Gantt Charts, Bubble Charts
Charting Guidelines: Histograms, Bullet Charts, Heat Maps and Highlight Tables
Charting Guidelines: Treemaps and Box-and-Whisker Plots
Module 10: Dates
Introduction to Dates
Discrete vs. Continuous Dates
Date Hierarchies
Converting Discrete and Continuous Dates
Tableau Calculated Fields
Module 11: Table calculations
Introduction to Table Calculations
Calculated Fields
Quick Table Calculations
Custom Table Calculations
Filters
Parameters
Sales Spotlight
Module 12: Mapping
Introduction to Mapping
Working with Geographic Data
Shapes, Colors, and Sizes
Custom Mapping Techniques
Custom Geocoding
Dual Layer Mapping
Module 13: Creating Dashboards and Storytelling with Tableau
Dashboard creation
Applying advanced functions
Organizing your story
Module 14: Data Visualization with Tableau Project
Delegates will put the skills and techniques they have acquired in the course to use through a hands-on case study developed by Pairview. A fictitious company will be considered and learners will also create a presentation that will be share with the executives.

Certificate of completion

Digital certificate - Included