Data Visualisation and Story Telling
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This subject is available under ICMS undergraduate degrees, please click the button below to find an undergraduate course for you.
Subject Code:
DAT301A
Subject Type:
Specialisation
Credit Points:
3 credit points
Pre-requisite/Co-requisite:
DAT102A Business Data Analytics
DAT201A Applied Data Mining
Course level of study pre-requisite:
a total of 24 credit points (15 credit points, including ICT101A, ICT102A, ICT103A, DAT101A from level 100 and 9 credit points from level 200 core subjects) prior enrolling into level 300 core and specialisation subjects.
Subject Level:
300
Subject Rationale:
Developing a successful and ethical data story using persuasive narratives and effective visuals is a critical skillset for any practitioner in the field of data analytics. The subject is designed to equip students with the relevant methods to visualise data to communicate data-driven business insights to a variety of stakeholders. Students will explore how to use effective communication and visualisation techniques to derive meaningful insights from data and to inform decisions and drive actions that create value for the organisation.
Based on insights from psychology and neuroscience research, students will learn how the human brain processes visuals and stories. Gestalt principles will be explored to understand how individuals perceive and process information and to organise and present complex visual information accordingly.
Learning Outcomes:
a) Explore the key principles of persuasive data visualisation and data storytelling to drive impact in organisations.
b) Design impactful data visualisations to effectively communicate insights using software tools.
c) Critically evaluate and develop a structure of a data story to communicate insights effectively and ethically.
d) Critique different visualisation designs using insights from Gestalt principles and cognitive pattern recognition.
e) Apply best practice visualisation and storytelling principles to construct persuasive data stories.
Student Assessment:
| No | Assessment Task | Weighting | Learning Outcomes |
| 1 | Video Presentation | 25% | a, e |
| 2 | Visualisation Design Evaluation Report | 35% | a, b, c, d |
| 3 | Visualisation and Storytelling Project (Pairs) | ||
| Part A Business Report | 20% | a, b, c, e | |
| Part B Presentation | 20% |
Broad Topics to be Covered:
| Topic: |
W1: Introduction to data visualisation and storytelling
|
W2: Key elements of storytelling
|
W3: The psychology of data storytelling
|
W4: The structure of a data story
|
W5: Data foundations
|
W6: Narrative foundations
|
W7: Human perception and innate pattern seeking
|
W8: Effective visualisation – the set-up
|
W9: Effective visualisation – the polish
|
W10: Planning, design, and evaluation of a data story
|
W11: Ethics in data driven visualisation and storytelling
|
Please note that these topics are often refined and subject to change so for up to date weekly topics and suggested reading resources, please refer to the Moodle subject page.