
Data Analytics and Visualisation
24 hours face to face + Blended
One Semester or equivalent
Hawthorn
Available to incoming Study Abroad and Exchange students
Overview
The unit introduces students to the understanding and application of data and visualization. Graduates will be able to find and utilise different sources and forms of data to provide evidence in different forms of media content creation, including creating data visualisations as a source of information.
Requisites
Teaching Periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
26-February-2024
26-May-2024
26-May-2024
Last self-enrolment date
10-March-2024
Census date
31-March-2024
Last withdraw without fail date
12-April-2024
Results released date
02-July-2024
Learning outcomes
Students who successfully complete this unit will be able to:
- Critically analyse, evaluate and utilise key sources of primary data for evidence in media content creation;
- Utilise basic statistical knowledge to analyse primary source data sets and its significance;
- Create visualisations of primary data using technical tools to illustrate evidence in data storytelling and visualisation;
- Apply data centered analysis to varied media content creation projects.
Teaching methods
Hawthorn
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
On-campus Lecture | 1.00 | 8 weeks | 8 |
On-campus Class | 2.00 | 8 weeks | 16 |
Online Learning activities | 3.00 | 4 weeks | 12 |
Specified Activities Various | 4.00 | 12 weeks | 48 |
Unspecified Activities Various | 5.00 | 12 weeks | 60 |
TOTAL | 144 |
Assessment
Type | Task | Weighting | ULO's |
---|---|---|---|
Information Visualisation | Group | 45% | 1,2,3,4 |
Pitch Presentations | Group | 15% | 1,2 |
Quizzes | Individual | 40% | 1,2 |
Content
- Introduction to Data and Visualisation – context for learning
- What is data – use of primary sources media content creation
- Understanding numbers – use and significance of statistics, numbers and other data
- Introduction to best practice data storytelling in an online age – some case studies
- Visualising data – tools to make meaningful stories with data
- Algorithms and data sets – how numbers can be manipulated
- Storytelling, curation and news reporting with data – how to integrate numbers into stories.
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.