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Online course

Big Data: Data Visualisation

Data visualisation is vital in bridging the gap between data and decisions. Discover the methods, tools and processes involved.

What’s the difference between a free course and an upgraded course?

Free:

  • Access to the course for its duration + 14 days, regardless of when you join (this includes access to articles, videos, peer review steps, quizzes)
  • No certificate

Upgraded:

  • Unlimited access to the course, for as long as it exists on FutureLearn (this includes access to articles, videos, peer review steps, quizzes)
  • A Certificate of Achievement when you complete the course

Find out more

Big Data: Data Visualisation

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Why join the course?

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.

Skip to 0 minutes and 7 secondsHi everyone and welcome to our Big Data Analytics collection of courses. My name is Kerrie Mengersen. 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. So how can you examine these bacteria closely, without potentially risking your health? Real life situations such as this have been resolved through the use of visualisations. Instead of physical interaction with the bacteria, scientists have created a virtual playground where they can effectively interact and examine bacteria without being at risk.

Skip to 0 minutes and 55 seconds Creating good visualisations not only produces something that looks nice, it helps us uncover and interact with information that might not have been immediately obvious. 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. We’re excited and we hope you are too.

What topics will you cover?

  • Introduction to visualisation
  • Information visualisation
  • Scientific visualisation
  • Visualisation tools
  • Design approaches for visualisation
  • Visualisation for communication

When would you like to start?

  • Available now
  • Date to be announced

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

Who is the course for?

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.

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.

Who will you learn with?

Tomasz Bednarz

I'm an A/Professor (QUT) and Team Leader (CSIRO/Data61), active in big bata visualisation and analytics, computational and simulation sciences, computer graphics and interactive techniques.

Steven Psaltis

I'm a Postdoctoral Fellow in the ARC Centre of Excellence for Mathematical and Statistical Frontiers at QUT. I'm interested in numerical simulation of physical systems, gpu computing and visualisation

Who developed the course?

QUT is a leading Australian university ranked in the top 2% of universities worldwide by the 2015-16 Times Higher Education World University Rankings. Located in Brisbane, it attracts 47,000 students.

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What’s the difference between a free course and an upgraded course?

Free:

  • Access to the course for its duration + 14 days, regardless of when you join (this includes access to articles, videos, peer review steps, quizzes)
  • No certificate

Upgraded:

  • Unlimited access to the course, for as long as it exists on FutureLearn (this includes access to articles, videos, peer review steps, quizzes)
  • A Certificate of Achievement when you complete the course

Find out more

Get extra benefits, upgrade this course. For $69 you'll get:

Unlimited access

Upgrading will mean you get unlimited access to the course.

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  • Take the course at your own pace
  • Refer to the material at any point in future

If you’re taking a course for free you have access to the course for its duration + 14 days, regardless of when you join. If you upgrade the course you have access for as long as the course exists on FutureLearn.

Certificate of Achievement

Upgrading means you’ll receive a Certificate of Achievement when you complete the course.

Image certificate mobile

  • Prove your success when applying for jobs or courses
  • Celebrate your hard work
  • Display on your LinkedIn or CV

To receive a Certificate of Achievement you need to mark 90% of the steps on the course as complete.

Upgrade


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