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Big Data: Data Visualisation

FutureLearn

Summary

Price
Free
Study method
Online
Duration
2 weeks · Self-paced
Qualification
No formal qualification

Overview

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

Description

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.

Get an introduction to big data visualisation

This free online course will provide you with an informative introduction to the methods, tools and processes involved in visualising big data. It has six elements:

  1. Introduction to visualisation
  2. Information visualisation
  3. Scientific visualisation
  4. Visualisation tools
  5. Design approaches for visualisation
  6. Visualisation for communication

Visualise real-word big data problems

We have designed the course around case studies from different fields. This way, you will be able to identify visualisation application areas and learn how to produce visualisations that help you to better understand real-world big data problems.

We will also take the time to examine briefly the use of visualisation throughout history dating back as far as 17,000 BC.

More courses in the Big Data series

This is the fourth in a series of short courses from the ARC Centre of Excellence for Mathematical and Statistical Frontiers at Queensland University of Technology (QUT).

You can also join the other three courses in the series:

  • From Data to Decisions
  • Statistical Inference and Machine Learning
  • Mathematical Modelling

Acknowledgements

QUT would like to thank the following content contributors:

  • Tomasz Bednarz
  • Pamela Burrage
  • Phil Gough
  • Miles McBain
  • Steve Psaltis

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

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Similar subjects: Data analysis, Big data, Business, IT
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