Overview

This unit aims to instruct students on the fundamental principles of information visualisation. Students will develop the ability to create visualisations that empower users to understand real-world data sets.

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Date Quarter 2
Location
Online
Start and end dates
14-April-2025
15-June-2025
Last self-enrolment date
14-April-2025
Census date
02-May-2025
Last withdraw without fail date
16-May-2025
Results released date
08-July-2025
Date Quarter 3
Location
Online
Start and end dates
07-July-2025
07-September-2025
Last self-enrolment date
07-July-2025
Census date
25-July-2025
Last withdraw without fail date
08-August-2025
Results released date
30-September-2025
Date Quarter 4
Location
Online
Start and end dates
29-September-2025
30-November-2025
Last self-enrolment date
29-September-2025
Census date
17-October-2025
Last withdraw without fail date
31-October-2025
Results released date
13-January-2026

Learning outcomes

Students who successfully complete this unit will be able to:

  • Exhibit fundamental data analytics techniques to transform, analyse and report on insights about datasets, using spreadsheet and database tools
  • Critically evaluate strategic priorities to support the implementation of dashboards and increase the level of data-driven decision making in an organisation
  • Present diagnostic analysis, and create and interpret prescriptive models to influence future organisational requirements
  • Evaluate the ethical and social issues of applying data analytics techniques in specific organisational contexts

Teaching methods

Swinburne Online

Type Hours per week Number of weeks Total (number of hours)
Online
Directed Online Learning and Independent Learning		15.00 10 weeks 150
TOTAL150

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Online Contact (Phasing out)
Online Class		1.50 8 weeks 12
Online
Directed Online Learning and Independent Learning		1.50 8 weeks 12
Face to Face Contact (Phasing out)
Workshop		3.00 8 weeks 24
Unspecified Learning Activities (Phasing out)
Independent Learning		12.75 8 weeks 102
TOTAL150

Assessment

Type Task Weighting ULO's
Assignment 1Individual/Group 40 - 60% 1,2,4 
Assignment 2Individual 40 - 60% 2,3,4 

Content

  • Data-driven decision making
  • Fundamental statistics and exploratory data analysis
  • Working with databases and multiple data sets
  • Diagnostic analytics
  • Visualising data and creating Tableau Dashboards
  • Data communication and storytelling with Tableau
  • Introduction to predictive analytics
  • Working as a professional data analyst

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.