IT Data Visualisation

Course Code: Q1ClaTech343


1 Day(s)

Course Type

Private only

Max Delegates


Delivery Style


How to simplify your data communication to engage and influence

The aim of this workshop is to share and discuss the key principles of effective data visualisation and to inspire you to tell better stories with your data. Creating effective data visualisations is no longer a task for highly technical specialists and design professionals. In the modern workplace, we are all responsible for the data that we produce and learning how to effectively communicate with this data can be an invaluable asset.

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If you require the content of this event tailored or have around 7 or more people to train it maybe better for you to host a Private Event, please get in touch to discuss this.

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Who is this course for

The workshop is aimed at anyone who works with data as part of their role. From administrators, analysts and accountants to researchers, teachers and senior managers, we can all benefit from learning the theory behind creating great graphics.

You will learn how to

Critically review a data visualisation and understand what makes one example more effective than another
Understand some key psychological principles and their significance to the design of an effective data visualisation. This includes an understanding of the importance of storytelling when communicating with data
Present data clearly within a table in order to effectively communicate a story
Identify and utilise the key components within graphical representations of data
Select the type of graph which best communicates the different relationships that exist within data
Present data clearly within a selected graph type in order to effectively communicate a story


  • What is data visualisation?
  • Why is data visualisation important?
  • Data visualisation as storytelling

Guiding Principles

  • The psychology of effective data visualisation
  • The fundamental principles of data visualisation
  • General principles of effective table design

Visualising Data

  • Data scales and relationships
  • What types of graph to use and when?
  • General principles of effective graph design

Case study: My Design Process

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