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Statistics - Data Visualisation

10 & 11 June 2025


Royal Statistical Society

Summary

Price
from £694.80 inc VAT
Study method
Classroom
Duration
2 days · Full-time
Qualification
No formal qualification
Certificates
  • Certificate of Attendance - Free
Additional info
  • Tutor is available to students

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Location & dates

Location
Address
TBC
London
EC1Y8LX
United Kingdom

Overview

The ability to visually communicate statistics to a broad audience is an increasingly important skill for many people working in data-driven environments. Yet this skill is all too often overlooked on academic curricula.

This introductory course provides the background context, essential theory and practical guidance needed to develop confidence in the effective use of data visualisation. It will be held on the 10 & 11 June 2025.

Certificates

Certificate of Attendance

Hard copy certificate - Included

Description

The ability to visually communicate statistics to a broad audience is an increasingly important skill for many people working in data-driven environments. Yet this skill is all too often overlooked on academic curricula.

This introductory course provides the background context, essential theory and practical guidance needed to develop confidence in the effective use of data visualisation.

Learning Outcomes

By the end of this course, attendees will have gained:

  • Proficiency in data visualisation design

  • Awareness of various visualisation methods and when/why to use them

  • Practical experience of applying visualisation concepts

Topics Covered

Day one of the course will cover the history and purpose of data visualisation, the audience, visual perception, colour, handling and describing data, statistical relationships in data (identifying and prioritising), chart types and their uses – the visual vocabulary.

Day two will examine visualisations, titles, annotations, copy, platforms (print/online/social media), tools, animation, interactivity, specific challenges -- e.g. showing uncertainty and volatility, and putting it all together -- practical exercises.

Who is this course for?

This course would be helpful to a broad range of professionals who need to communicate statistical information to a wide audience -- including researchers, analysts, journalists and marketing and communications professionals.

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