Data Visualisation is having a big impact on the corporate world. No matter what size of business, there is an increasing need to extract value from data investments. This unique Data Visualisation Masterclass introduces participants to new technical tools and techniques that deliver state-of-the-art data visualisations quickly and easily. We demonstrate best practice, top design patterns and a workflow that takes you from raw data to impressive visuals. Participants develop skills that allow them to communicate data in quick, understandable and persuasive ways.
The art and business of data visualisation are developed rapidly in terms of tools and theory, history has long demonstrated this approach to storytelling. The work of Statistician Florence Nightingale, who is remembered most for tending the sick, but she changed the world with one chart – a data visualisation of preventable deaths. This powerful and influential approach communicated the need for change and resulted in more resources being allocated to helping the sick, saving many lives.
This Masterclass is suitable for anyone who is interested in or has to communicate with data.
1 day, 09:00-17:30
Early Bird Rate (before September 3rd)
Student discount available. Contact us to learn more
Claremont Avenue, Glasnevin Dublin 11
Jonathan SymmondsJonathan Symmonds is Co-Founder of Sophoria Visual Effects studio. With over 18 years of experience in the film and games industry he has worked on James Cameron’s Avatar, Trollhunter, Where the Wild Things Are, Prince of Persia, Dark Tide and more. More recently, Jonathan lead the animation departments for Season 5, 6, 7 and 8 of “The Game of Thrones” series at Pixomondo in Germany. Jonathan was nominated three times for a VES Award.
Dr. Finn MacleodDr. Finn Macleod is a former mathematician with a PhD in predictive complexity. He has built, sold and designed dashboards for clients such as Thomson-Reuters, Formula 1 (via Meshh) and Heineken. Finn and Edward Kibardin (the ex-chief data scientist of Badoo) partner on the project DataRefiner, a hybrid tool that uses deep learning and TDA (topological data analysis) to understand and segment complex data sets.
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