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COMM2501 Data Visualisation and Communication
Course Details & Outcomes
Course Description
How can data help you tell a story? How can you use data storytelling to then tackle some of the big challenges we are facing around the world?
Data visualisation and communication are critical skills in many professions. The creation of targeted, easily digestible visuals allows us to make sense of complex information in an accessible and easily understandable way. The ability to employ visuals will enhance almost any presentation to better engage our audience, make our messages more memorable, and facilitate more effective decision-making.
In this course, we will give you the tools to create your own data story addressing a pressing and current global challenge as identified by the UN SDGs. You will learn how to design your story for your chosen audience, how to criticise misrepresentations of data (especially the intentional ones), and drive action to address your chosen challenge.
So, how will you leave the world a better place?
Course Aims
This course aims to teach students the skills of effective data visualisation and communication in the field of analytics.
Relationship to Other Courses
The ideas introduced in this course around developing the skill of effective data storytelling will form a strong foundation for effective, evidence-based communication applicable to many disciplines.
Course Learning Outcomes
| Course Learning Outcomes | Program learning outcomes |
|---|---|
| CLO1 : Compose analytics-informed narratives for actionable business recommendations and communicate them convincingly to technical and non-technical stakeholders. |
|
| CLO2 : Critically examine misrepresentations of data and apply relevant approaches to prevent and mitigate ethical risks. |
|
| CLO3 : Develop a strategy in a culturally diverse context to address a global issue |
|
| CLO4 : Examine stakeholder interests and devise strategies to implement innovations that consider business trends and opportunities. |
|
| CLO5 : Participate in experiential activities that will aid in evaluating career aspirations and marketing your skills to prospective employers. |
|
| Course Learning Outcomes | Assessment Item |
|---|---|
| CLO1 : Compose analytics-informed narratives for actionable business recommendations and communicate them convincingly to technical and non-technical stakeholders. |
|
| CLO2 : Critically examine misrepresentations of data and apply relevant approaches to prevent and mitigate ethical risks. |
|
| CLO3 : Develop a strategy in a culturally diverse context to address a global issue |
|
| CLO4 : Examine stakeholder interests and devise strategies to implement innovations that consider business trends and opportunities. |
|
| CLO5 : Participate in experiential activities that will aid in evaluating career aspirations and marketing your skills to prospective employers. |
|
Learning and Teaching Technologies
Moodle - Learning Management System
Assessments
Assessment Structure
| Assessment Item | Weight | Relevant Dates | Program learning outcomes |
|---|---|---|---|
|
Data Story Project
Assessment FormatIndividual
|
35% |
Start DateNot Applicable
Due DateWeek 10: 29 July - 04 August
|
|
|
Data Story Content
Assessment FormatIndividual
|
45% |
Start DateNot Applicable
Due DateVarious, see Moodle for details
|
|
|
Formative Tasks
Assessment FormatIndividual
|
20% |
Due DateWeekly, see Moodle for details
|
Assessment Details
-
Data Story Project
Assessment Overview
A set of tasks for students to arrange their content into an artifact for use in a professional portfolio.
Assesses: PLO1, PLO2, PLO3, , PLO5, PLO6, PLO7
myBcom points PL05 and PLO7
Course Learning Outcomes
- CLO1 : Compose analytics-informed narratives for actionable business recommendations and communicate them convincingly to technical and non-technical stakeholders.
- CLO2 : Critically examine misrepresentations of data and apply relevant approaches to prevent and mitigate ethical risks.
- CLO3 : Develop a strategy in a culturally diverse context to address a global issue
- CLO4 : Examine stakeholder interests and devise strategies to implement innovations that consider business trends and opportunities.
- CLO5 : Participate in experiential activities that will aid in evaluating career aspirations and marketing your skills to prospective employers.
Assignment submission Turnitin type
This is not a Turnitin assignment
-
Data Story Content
Assessment Overview
A set of tasks for students to create content for their data story.
Assesses: PLO1, PLO2, PLO3, PLO5, PLO6
myBcom points PL06
Course Learning Outcomes
- CLO1 : Compose analytics-informed narratives for actionable business recommendations and communicate them convincingly to technical and non-technical stakeholders.
- CLO2 : Critically examine misrepresentations of data and apply relevant approaches to prevent and mitigate ethical risks.
- CLO3 : Develop a strategy in a culturally diverse context to address a global issue
- CLO4 : Examine stakeholder interests and devise strategies to implement innovations that consider business trends and opportunities.
Assignment submission Turnitin type
This is not a Turnitin assignment
-
Formative Tasks
Assessment Overview
Weekly activities to support students learning.
Assesses: PLO1, PLO2, PLO3, PLO5, PLO6
myBcom points and PL03
Course Learning Outcomes
- CLO1 : Compose analytics-informed narratives for actionable business recommendations and communicate them convincingly to technical and non-technical stakeholders.
- CLO2 : Critically examine misrepresentations of data and apply relevant approaches to prevent and mitigate ethical risks.
- CLO3 : Develop a strategy in a culturally diverse context to address a global issue
- CLO4 : Examine stakeholder interests and devise strategies to implement innovations that consider business trends and opportunities.
Assignment submission Turnitin type
This is not a Turnitin assignment
General Assessment Information
Grading Basis
Standard
Course Schedule
| Teaching Week/Module | Activity Type | Content |
|---|---|---|
| Week 1 : 27 May - 2 June | Topic |
Course Introduction |
| Week 2 : 3 June - 9 June | Topic |
Finding and Interpreting Patterns in Data |
| Week 3 : 10 June - 16 June | Topic |
Principles of Good and Bad Visualisations |
| Week 4 : 17 June - 23 June | Topic |
Understanding your Stakeholders |
| Week 5 : 24 June - 30 June | Topic |
Problems with Data |
| Week 6 : 1 July - 7 July | Topic |
Flexibility week - no lectures or labs/tutorials |
| Week 7 : 8 July - 14 July | Topic |
(Data) Story Elements |
| Week 8 : 15 July - 21 July | Topic |
Weaving your Narrative |
| Week 9 : 22 July - 28 July | Topic |
Guest Lecture |
| Week 10 : 29 July - 4 August | Topic |
Reflecting on your (Data) Story |
Attendance Requirements
It is in the best interest of students to attend as many classes as possible, since there will be activities to support the completion of the data story project. Historically, students that have chosen not to attend class have found that their peers have received much more support and feedback for improving their data story projects.
Course Resources
Prescribed Resources
Course website on Moodle
Recommended Resources
For students wishing to use Tableau: Storytelling with data, A data visualisation guide for business professionals, C. N. Knaflic
For students wishing to use R: Data Visualisation: A practical introduction, K. Healy
Statistics, Illowsky and Dean
Course Evaluation and Development
There will be many opportunities for informal feedback collection throughout the term, and also the formal MyExperience survey at the end of the term. We will use the feedback to adjust your experience where possible, as well as improving future offerings.