Data and Analysis
UndergraduateTAS-ZAB2342024
Previously TAS-ZAB114
Course information for 2024 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.
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
- Loan available
- 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.
- Unit Introduction: 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
- Presenting data: written reports
- Presenting data: seminars
- Experimental design
- 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.
- Report: Exploring Data as Evidence (20%)
- Report: Data Analysis (35%)
- 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
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
Undergraduate Certificate in Fermentation
UndergraduateTAS-FER-CTF
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