Duration: 2 Days
Technologies: Tableau, SAS, R, Python, D3, Qlik, Excel
Overview: The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data.
Outcomes: At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it.
Pre-requisites: To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools.
Who: This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results.
Outline: The course will explore the following topics through a series of interactive workshop sessions:
- Fundamentals of data visualisation
- Data characteristics & dimensions
- Mapping visual encodings to data dimensions
- Colour theory
- Graphical perception & communication
- Interaction design
- Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text
- Designing effective dashboards