Data and Analysis
UndergraduateTAS-ZAB1142025
Enrolments for this course are closed, but you may have other options to start studying now. Book a consultation to learn more.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- No ATAR needed, No prior study
- Duration
- 14 weeks
- Start dates
- 21 July 2025
- Loan available
- HECS-HELP and FEE-HELP available
Data and Analysis
About this subject
On successful completion of this subject, the student will be able to:
- Describe how data are handled and analysed to support decision making.
- Select and apply data analysis and presentation methods to generate evidence that supports decision-making.
- Interpret and communicate evidence generated from mathematical and statistical analyses.
- Critically reflect on own technical practice and discipline knowledge to generate plans for self-development.
- Data types and statistical analyses overview
- Data handling, analysis and presentation of data
- Questions, hypothesis testing and probability
- Correlation and linear relationships
- Linear regression
- The T-test
- One-way ANOVA
- Communicating data: writing and presenting
- Experimental design
- Data ethics and privacy
- Chi-square tests for independence
- Advanced statistical methods
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 data sets relevant to your discipline, you will learn how to problem solve, generate evidence, and present solutions using data handling and statistical approaches.
- Data Analysis Report (35%)
- Exploring Data as Evidence Report (20%)
- Presentation: 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 - Teaching Arrangement: Weekly online 1-2 hour tutorials; 1 x half-day online workshop per semester. Optional field trips may be offered.
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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What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
Diploma of Applied Technologies (Fermentation)
UndergraduateTAS-ATF-DIP
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