Enrolments for 2023 have closed.
Data and Analysis
Undergraduate | TAS-ZAB234 | 2023
Previously TAS-ZAB114
Course information for 2023 intake View information for 2024 course intake
Use data to make decisions in business, science, and technology. You’ll learn how to collect data, interpret it, and present it. Get to know statistical techniques and software. Communicate results clearly. Present solutions with confidence.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- No ATAR needed,
- No prior study
- Duration
- 14 weeks
HECS-HELP and FEE-HELP available
Data and Analysis
About this subject
Upon completion of this subject, the student should be able to:
- Describe how data are handled and analysed to support decision making in business, science, and technology disciplines.
- Select and apply data analysis and presentation methods to generate evidence that supports decision-making.
- Evaluate, interpret and communicate evidence generated from mathematical and statistical approaches.
- Critically reflect on own technical practice and discipline knowledge to generate plans for self-development.
- Subject Introduction Data Types and Statistical Analysis
- Data Handling, Analysis & Presentation of Data
- Questions, hypothesis testing and probability
- Correlation & Linear Regression
- Content Review
- The t-test
- One-way ANOVA
- Progress Review
- Presenting Data: Written Reports
- Experimental Design
- Presenting Data: Seminars
- Further Statistical Techniques
In this subject, you will be introduced to mathematical and statistical methods for analysing scientific, business or technical data to inform and support decision-making. You will explore why data is needed and how it is used to make decisions, including how data are collected, analysed, interpreted and presented, and you will learn and apply a suite of common statistical and mathematical methods to generate evidence for decision-making. You will also be introduced to data management software and learn how to represent and communicate mathematical and statistical information effectively. Through case studies relevant to your discipline, you will learn how to problem solve, generate evidence, and present solutions using data handling and statistical approaches.
This subject also builds on concepts of learning through practice from Year 1 by introducing you to more complex learning experiences including:
- discipline-based skills and knowledge in dynamic practice situations. This will include authentic and purposeful, industry-related experiences
- concepts of managing effective relationships and communicating with others
- the development and use of adaptive leadership skills and how these skills relate to innovative and entrepreneurial practice
- the nature of responsible, accountable, and reflective workplace skills, and creative and critical thinking relevant to para-professional practice.
You will exercise self-awareness, initiative, and judgement to manage yourself and professional relationships effectively. The application of tacit knowledge and capabilities will be reflected in a Practice Manual.
- Exploring Data as Evidence (20%)
- Data Analysis (35%)
- Communicating Data for Decision Making, with Peer Feedback (45%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
No entry requirements
Additional requirements
- Other requirements - Weekly online 1 hour tutorial; 3 x half day online workshops per semester. 2 optional Course wide field trips are conducted.
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.
Why study a single subject?
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Pursue a dream
With thousands of single subjects to choose from, you can find topics that get you on the path to your higher education goals fast.
Gain Uni credit
Most single subjects are part of a full degree. That means if you’re keen to keep learning, you can gain credit for the subjects you’ve successfully completed.
What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
UndergraduateTAS-AGR-ADG
UndergraduateTAS-SFS-ADG
Associate Degree in Applied Science (Fermentation and Separation)
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