Data visualisation is vital in bridging the gap between data and decisions. Discover the methods, tools and processes involved. Data visualisation is an important visual method for effective communication and analysing large datasets. Through data visualisations we are able to draw conclusions from data that sometimes are not immediately obvious, and interact with the data in an entirely different way.
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This course will provide you with an informative introduction to the methods, tools and processes involved in visualising big data. We will also take the time to examine briefly the use of visualisation throughout history dating back as far as 17000 BC.
What topics will you cover?
- Introduction to visualisation
- Information visualisation
- Scientific visualisation
- Visualisation tools
- Design approaches for visualisation
- Visualisation for communication
What will you achieve?
By the end of the course, you'll be able to...
- Explore big data frameworks
- Demonstrate an integrated approach to big data
- Develop an awareness of how to participate effectively in a team working with big data experts
What software or tools do you need?
We will use a variety of tools so that you become comfortable engaging with different software and confident trialing new packages to find those that best meet your needs. Please review the product websites below to ensure your system meets the minimum requirements for the tools we will be using.
Tableau: You can use the free trial for a period of 2 weeks. Please do not start the trial until you are ready to do the Tableau exercises.
MATLAB Online: MathWorks will provide you with a license to use MATLAB online for the duration of the course.
D3.js: The D3 JavaScript library is available under BSD license.
You can still learn effectively even if you don’t have access to all of these tools as you will be able to see what they can do for you.
