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FutureLearn Big Data: Data Visualisation

Queensland University of Technology via FutureLearn

  • Overview
  1. FutureLearn
    Platform:
    FutureLearn
    Provider:
    Queensland University of Technology
    Length:
    3 weeks
    Effort:
    2 hours/week
    Language:
    English
    Credentials:
    Paid Certificate Available
    Overview
    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 are sometimes not immediately obvious and interact with the data in an entirely different way.

    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.

    We have designed the course for people from different fields who want to learn how to produce visualisations that help us better understand real-world big data problems. You will gain the most from the practical exercises if you are comfortable with computer programming however you don’t need to have any prior experience using the software listed below.

    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.

    What topics will you cover?
    • Introduction to visualisation
    • Information visualisation
    • Scientific visualisation
    • Visualisation tools
    • Design approaches for visualisation
    • Visualisation for communication

    Taught by
    Tomasz Bednarz, Ian Turner and Kerrie Mengersen

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