Data Visualisation
UndergraduateUSA-INFS30802025
Enrol today with instant approval and no entry requirements
- Study method
- 100% online
- Assessments
- 100% online
- Enrol by
- 14 Sept 2025
- Entry requirements
- No ATAR needed, No prior study
- Duration
- 10 weeks
- Start dates
- 22 Sept 2025
- Price from
- $2,300
- Upfront cost
- $0
- Loan available
- FEE-HELP available
Data Visualisation
About this subject
By the end of this 10-week course, you’ll be able to:
- Describe and critique common data visualisation approaches to discover insights from data.
- Create data visualisations using visualisation software.
- Use appropriate data visualisation techniques when exploring data and communicating results of analytics.
- Introduction to Data Visualisation
- Guidelines for Design
- Fundamentals of Data Visualisation
- How Graphics Work
- Design Thinking: Making Better Graphics
- Data Visualisation with R
- Introduction to SAS Visual Analytics
- Exploring and Visualising Data with SAS Visual Analytics
- Data Visualisation with D3
Effective data visualisation is the crucial final step of data analysis. Data visualisation communicates relationships within the data with visual images, which allows your stakeholders to gain insights and easily identify patterns and trends. Through this course, you’ll discover some of the common ways data visualisations are applied in a range of organisations while gaining the skills to use common visual analytics software.
UniSA Online’s 10-week short courses give you the flexibility to up-skill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree.
Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device.
This is a third-year course from UniSA Online’s Data Analytics degree. Please note: you are responsible for completing any relevant prerequisite courses before enrolling in this course.
Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.
- Continuous assessment (40%)
- Project (60%)
For textbook details check your university's handbook, website or learning management system (LMS).
The University of South Australia (UniSA) is ranked as one of the best young universities in the world, and is the number one university in Australia for graduate employability. UniSA offers over 200 world-class degrees that are informed by industry and delivered with a highly practical approach to teaching and learning, and is a valuable partner with Open Universities Australia.
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Entry requirements
No entry requirements
Additional requirements
- Other requirements - Students must be aged 17 or older by the time teaching commences for their course of study, in accordance with UniSA’s Selection and entry to programs policy.
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
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