Overview
Data visualisation is a much-needed skill in today’s data-driven world, and effective data visuals are an essential representation of data or information. Understanding the essential skills of presenting reports can enhance the communication of data patterns and trends in easy-to-read formats, moving towards influencing and informing your audience.
Starting with the basics of data visualisation, you will learn the principles and techniques of data visualisation to enable you to communicate patterns and trends better visually.
This course offers a comprehensive and immersive learning experience for individuals seeking to harness the power of data through compelling visualisations.
Learners will leave the course equipped with the knowledge and fundamental skills to create visually stunning and informative data representations, enabling them to make data-driven decisions confidently.
Prerequisites
While no prior data visualization experience is necessary, the following is beneficial:
- An understanding of data literacy and data concepts
- Familiarity with Microsoft Excel, Power BI or similar
Delegates will learn how to
This one-day fundamentals course is designed to provide you with the understanding and ability to:
- Identify different types of visualisation
- Remove distractive elements
- Focus audience attention
- Emphasise the key points and measures
- Provide a narrative to explain the visual
Outline
Over the duration of the day, you will discuss the following:
Module 1: What is data visualisation?
- Why do we need a visual?
- Where can visuals be used?
Module 2: Visualisation types
- Creating tables and matrices
- Difference between graphs and charts
- Develop geographic visuals
Module 3: Decluttering visuals
- What are the elements?
- Why do we need to declutter?
- How to remove distractions
Module 4: Focussing key point attention
- What are the key points of the story
- Who is the audience
- How to emphasise the key points
Module 5: Create a visual narrative
- Why do we need to comment?
- What are narratives, commentaries and callouts?
- Types of elaborative and explanatory notes
Data Citizen learning paths
= Required
= Certification
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