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Unit of study_
QBUS5001: Foundation in Data Analytics for Business
This unit highlights the importance of statistical methods and tools for today's managers and analysts and demonstrates how to apply these methods to business problems using real-world data. The quantitative skills that students learn in this unit are useful in all areas of business. Through taking this unit students learn how to model and analyse the relationships within business data; how to identify the appropriate statistical technique in different business environments; how to compute statistics by hand and using special purpose software; how to interpret results in the context of the business problem; and how to forecast using business data. The unit is taught through data-driven examples, exercises and business case studies.
| Code | QBUS5001 |
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| Academic unit | Business Analytics |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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ECMT5001 or QBUS5002 |
| Assumed knowledge:
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Students should be capable of reading data in tabulated form and working with Microsoft EXCEL and doing High School level of mathematics |
At the completion of this unit, you should be able to:
- LO1. build a strong quantitative skill set for business decision making; create statistical models for studying relationship amongst business variables; demonstrate proficiency in the use of statistical software for quantitative modelling
- LO2. evaluate underlying theories, concepts, assumptions and arguments in business related fields
- LO3. identify problems within real-world constraints and collect data for decision making; manage, analyse, evaluate and use information efficiently and effectively; demonstrate coherent arguments when recommending solutions
- LO4. communicate confidently and coherently to a professional standard both orally and in writing
- LO5. defend data integrity; analyse data and report results professionally and ethically.
Unit outlines
Unit outlines will be available 1 week before the first day of teaching for the relevant session.
- Intensive February, 2023 [Block mode] - Camperdown/Darlington, Sydney
- Intensive February, 2023 [Block mode] - Remote
- Semester 1, 2023 [Normal day] - Remote
- Semester 1, 2023 [Normal day] - Camperdown/Darlington, Sydney
- Intensive July, 2023 [Block mode] - Camperdown/Darlington, Sydney
- Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney
- Semester 2, 2020 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2021 [Normal day] - Remote
- Semester 1, 2021 [Normal day] - Camperdown/Darlington, Sydney
- Semester 2, 2021 [Normal day] - Remote
- Semester 2, 2021 [Normal day] - Camperdown/Darlington, Sydney
- Intensive February, 2022 [Block mode] - Remote
- Semester 1, 2022 [Normal day] - Remote
- Semester 1, 2022 [Normal day] - Camperdown/Darlington, Sydney
- Intensive July, 2022 [Block mode] - Remote
- Intensive July, 2022 [Block mode] - Camperdown/Darlington, Sydney
- Semester 2, 2022 [Normal day] - Remote
- Semester 2, 2022 [Normal day] - Camperdown/Darlington, Sydney
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