Data visualisation is vital in bridging the gap between data and decisions. Discover the methods, tools and processes involved.
Imagine you’re a scientist in a lab, investigating a new strain of bacteria that’s extremely harmful and potentially deadly.
As a scientist you’re naturally curious, however there’s no way you would want to get too close to the bacteria and risk being contaminated.
In this course we offer a unique insight into different visual techniques for analysing Big Data.
We help you understand some different tools for creating effective visualisations, and show you examples where visualisations have been incredibly effective - such as the bacteria example.
We’ve created this course to share with you the multi-lensed approach we use at ACEMS that enables us to create new insights and ways of thinking around the Big Data space.