Course curriculum

  • 1

    READ THIS FIRST

    • Worksheet and case study

  • 2

    Data Visualisation (Introduction)

    • Introduction & the 3 steps

  • 3

    Step 1: Identify

    • Pre-quiz

    • What is your key message?

    • Different types of charts

    • Do we need a chart? Alternatives to charts

    • Choosing the right chart (by 365 Data Science)

    • Exercise: Show Correlation

    • Exercise: Show proportions

    • Tips and tricks for designing Infographics

    • Different visual styles

    • Visual case study example

    • Types of qualitative data

    • Exercise: Design an infographic

  • 4

    Step 2: Simplify

    • Pre-quiz

    • Simplify (Introduction)

    • One key message per slide/per chart

    • Remove elements that aren't necessary

    • Groupings

    • Quick layouts and chart templates

    • Formatting your charts

  • 5

    Step 3: Amplify

    • Contrast in size and colours

    • Use labels, lines, and arrows

    • Colourblind-friendly palette

    • Case example: Visual storytelling using charts and labels

  • 6

    Assignments and Submissions

    • Submit all Visual exercises

    • Final Assignment

  • 7

    More case examples (Optional reading/Watching)

    • Example of how a data story is narrated

    • How graphs can mislead

  • 8

    Further Reading Materials

    • Data Storytelling Guidebook

    • Visual Presentation Guidebook