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Modern society is often referred to as 'the information society' - but how can we make sense of all the information we are bombarded with?

FREE
This course includes
Hours of videos

6 hours, 34 minutes

Units & Quizzes

31

Unlimited Lifetime access
Access on mobile app
Certificate of Completion

In this course, Visualisation: Visual representations of data and information, you will learn how to interpret, and in some cases create, visual representations of data and information that help us to see things in a different way.

Course learning outcomes

After studying this course, you should be able to:

  • Understand what is meant by the term ‘visualisation’ within the context of data and information
  • Interpret and create a range of visual representations of data and information
  • Recognise a range of visualisation models such as cartograms, choropleth maps and hyperbolic trees
  • Select an appropriate visualisation model to represent a given data set
  • Recognise when visualisations are presenting information in a misleading way.

Course Currilcum

  • Introduction 00:07:00
  • Learning outcomes 00:07:00
    • Before you begin your study 00:10:00
    • An introduction to visualisation 00:15:00
    • The most common spreadsheet charts 00:15:00
    • Cheating with charts 00:15:00
    • Cheating with line charts 00:35:00
    • Cheating with bar charts 00:10:00
    • Cheating with pie charts 00:15:00
    • Hierarchical data 00:10:00
    • Radial and hyperbolic trees 00:05:00
    • Treemaps 00:25:00
    • Geographical data 00:10:00
    • Maps on the web 00:15:00
    • Making your mark – plotting data points on a map 00:15:00
    • Geocoding your data 00:10:00
    • Proportional symbol maps 00:10:00
    • Choropleth maps 00:20:00
    • Heat (isopleth) maps 00:20:00
    • Cartograms 00:20:00
    • Multi-dimensional data 00:20:00
    • Some caveats 00:10:00
    • Conclusion 00:05:00
    • Taking it further (optional material) 00:05:00
    • Exploring time-series data (optional) 00:10:00
    • Creating organisational charts (optional) 00:05:00
    • Mind-mapping tools (optional) 00:10:00
    • Exploring KML further (optional) 00:10:00
    • Map overlaying skills (optional) 00:10:00
    • Web developer skills (optional) 00:10:00
    • Further visualisation skills (optional) 00:10:00