Data Visualisation & Storytelling

About the Course

Compelling and exciting storytelling and data visualisation techniques represent essential analysis and communication aspects that drive the decision-making process in today’s knowledge-based world. The power of data analysis and visualisation lies in the fact that decision-making processes are often based on distilled summaries and visual cues that are more functional and insightful than text or dark raw data.

In today’s digital data and information age, technical professionals, managers, senior executives, and government leaders often rely on storytelling and data visualisation aids to grasp concepts, approaches, and details in minimal time and with less effort. This 5-day practical Data Visualisation & Storytelling training course offers a variety of storytelling and data visualisation tools and frameworks that answer key business and operational needs towards the immersive, interactive, holistic visual representation of systems, operations, and processes. The delegates will learn to articulate stories behind datasets and use practical visualisation tools to display data findings.

Furthermore, it highlights the application of data-powered artificial intelligence and the development of intelligent decision support systems to promote smart decision-making, pattern finding from complex data, internal visualisation of images, or insights from problems. Practical examples of the storytelling and data visualisation concepts presented are thoroughly discussed during this programme.

Core Objectives

The delegates will achieve the following objectives:

• Appreciate the power of storytelling and visualisation
• Familiarise with visualisation pitfalls and problems
• Present data and information using storytelling and visualisation
• Understand data requirements and tools to analyse, interpret, and visualise data
• Know how to interact with new tools and frameworks for storytelling and visualisation
• Recognise the three levels of interactive and immersive environments

Training Approach

This training course is a mixture of lectures, video presentations, trainer-facilitated workshop exercises, and case study analysis organised through a Virtual Learning Platform anytime and anywhere.

The Attendees

This training course's target audience includes professionals interested in learning about storytelling and data visualisation to leverage the power of advanced data analytics and smart decision-making frameworks. 

Likewise, it will be valuable to the professionals but not limited to the following:

• Designers
• Project Managers
• Operations Supervisors
• Business and Government Leaders
• Entrepreneurs and Investors
• Business Owners
• Writers and Reporters
• Content Developers
• Training Specialists
• Business and System Analysts
• Technologists and Scientists
• Health, Safety, Security, and Environmental Specialists and Regulators
• Marketing, Branding, Communications and Public Relations Specialists
• Researchers in the Arena of Data Science, Data Mining, and Visualisation
• Professionals Working in Industrial, Energy, Manufacturing, Media, Construction, Astronomy, Medical, Retail, Information Technology, Operational Technology, Engineering, Finance, Investment, Procurement and Human Resource Fields

Daily Discussion

DAY ONE: INTRODUCTION TO STORYTELLING

• The Motivation for Storytelling
• Data Types and Data Complexity
• New Workplace Realities
• Effective Rules for Storytelling
• Storytelling & Visualisation Pitfalls

DAY TWO: STRATEGIES FOR STORYTELLING & VISUALISATION

• Data Visualisation Process
• Data Visualisation Techniques
• Strategies for Storytelling & Visualisation
• Workflow for Data Visualisation
• Data Visualisation Checklist

DAY THREE: DIGITAL INTERACTIVE & IMMERSIVE VISUALISATION

• Perks of Interactive & Immersive Visualisation
• Immersive Human-Machine-Data Interface
• Immersive Space to Think
• Virtual Reality/Augmented Reality
• Digital Twin
• Levels of Interactive: Immersive Environments

DAY FOUR: INTELLIGENT DECISION-MAKING

• Artificial Intelligence-Powered Decision Support Systems
• Leveraging AI for data-driven decision-making
• Real-time Analytics and Predictive Artificial Intelligence (AI)
• Artificial Intelligence (AI) in Strategic Decision-making
• Evaluating Artificial Intelligence (AI) Tools for Decision Support

DAY FIVE: PRACTICAL WORKSHOP

• Identifying the Data
• Collecting the Data
• Visualizing the Data
• Harnessing Valuable Insights