An Introduction to Data Visualisation - How to Tell Stories with Data

Introduction

Being able to tell stories with data is a skill that is becoming ever more critical in a world of burgeoning data and a growing appetite for data-driven decision-making. Effective data visualisation is now not just about presenting data aesthetically but leveraging advanced AI tools that can advise on the optimal visualisations for specific data narratives and assist in generating these charts directly. This enhancement significantly bridges the gap between success and failure in communicating information, whether it's presenting to your board, justifying a business case, or simply conveying your message to your audience.

This virtual classroom seminar offers practical guidance, now augmented with insights into how AI can amplify your ability to communicate visually with data, that you can start applying immediately to elevate your data visualisation capabilities.

Join our expert digital consultant Andrew Smith for a comprehensive exploration of the tools, tactics, and AI enhancements needed to advance your data visualisation skills. This session will include live demonstrations of dashboard building using Google Looker, showcasing the integration of AI in selecting and generating compelling visual data narratives.

This live session is aimed at delegates who utilise AI in their day to day work.

What You Will Learn

This live and interactive session will cover the following:

• Understanding the context of data visualisation in today's AI-enhanced environment
• Choosing the most appropriate visual display with AI assistance
• Eliminating dashboard clutter for clearer data communication
• Focusing attention precisely where you want it with data-driven insights
• Adopting a designer's mindset with AI's creative suggestions
• Telling a compelling story with data, empowered by AI-generated visualisations

Recording of live sessions: Soon after the Learn Live session has taken place you will be able to go back and access the recording - should you wish to revisit the material discussed.