We introduce the benefits of data visualisation and types of visualisations and discuss the considerations and challenges linked to visualisations, before taking a brief look at some tools, platforms, and real-life examples.
If you’re looking for a high-level understanding of visualisations, this course is ideal for you. An individual subscription gives you 3 months’ online access to:
As Well As
Our Industry and Actuartech Resource Libraries which feature curated additional content to assist you on your data science journey.
In this training module, we start by looking at the benefits of data visualisation as well as defining what it actually is.
We then look at various types of visualisations, including bar graphs, line graphs, and pie charts.
Next, we look at the main issues that one needs to be aware of when deciding which visualisation technique to use and how one should always consider their audience.
We end off with the main tools and platforms for data visualisation and take a brief look into some real-life examples.
Please note that this module is conceptual and principle-based. For practical coding experience on visualisation techniques, please refer to one of our visualisation courses in R or Python.
In Chapter 1, we introduce visualisations by looking at an introductory example and the benefits of visualisations.
Chapter 2 sees us exploring types of visualisations.
In Chapter 3 and Chapter 4 we consider the audience and potential issues.
In Chapter 5 we discuss modern application tools for creating visuals.
Chapter 6 presents visualisation case studies, including COVID-19 examples.
Chapter 7 concludes the course with a summary and The Appendix offers students further resources.
Data visualisation helps us, among others to:
We have tailored packages available to ensure that corporate teams have the option to attend structured live lessons by our tutors, and the option to request a practical assignment and bespoke feedback. Invoicing option available.
