14/06/2022 - 15/06/2022
Royal Statistical Society
Alan Smith OBE
Entry (no or almost no prior knowledge)
View in Google Maps (EC1Y 8LX)
12 Errol Street, London
Level: Foundation (F)
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.
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
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.
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.
"This is best training course I have been on (during the last 30 years - the length of my memory). It met all my objectives and I have already applied some of the skills learnt."
"It was a very well balanced course. The tutor is clearly an authority in this subject matter and was a very engaging communicator."
"Alan was a wonderful presenter, very engaging and knowledgeable and the takeaway information has been comprehensive. I am looking forward to using these new skills in my own work and developing my skills and knowledge further."
£599.76 to £832.32 (including VAT)
Website and registration:
Quantitative Data Handling and Data Analysis, Data visualisation , Visual perception , Statistical relationships , Visualisation , Annotations
Related publications and presentations: