ETF2121 Data analysis in business
Faculty of Business and Economics
ETF2121 Data analysis in business is a level 2, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2024 in Semester 1 and Semester 2 at Caulfield. It needs ETB1100, ETW1001, ETX1100, FIT1006, ETC1000, SCI1020, ETF1100 or STA1010 and unlocks 4 units, leading on to 10 units in all.
- Credit points
- 6
- Offered in 2024
- Semester 1, Semester 2
- Caulfield
- Assessment
- Exam 110%
- and 2 other tasks
- Workload
- 144 hours
- per semester
This is the 2024 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETF2121
Prerequisites
Pass these before you enrol.
- ETB1100Business statisticsNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- ETX1100Business statisticsNo reviews yet
- FIT1006Business information analysisNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- SCI1020Introduction to statistical reasoningNo reviews yet
- ETF1100Business statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
Prohibitions
You can't enrol if you have passed any of these.
After ETF2121
4 units list ETF2121 as a prerequisite or corequisite.
Enrolment rules
To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 12 level. You may have satisfied this by completing relevant prerequisite unit/s, or you have covered relevant topics in your final years of secondary study. You should self-assess your maths competency prior to enrolling in this unit.
Equivalent units
The same content under another code. Only one of them counts.
Overview
Further develops statistical concepts from ETF1100 and their application to business sectors such as finance and accounting. Sources of data and sampling techniques. Confidence intervals and hypothesis testing both for single populations and between populations to identify significant findings with applications to accounting and finance, risk modelling. Commonly used modelling methods in industry -- simple and multiple regression, analysis of time series in financial markets. Excel software will be used. Emphasis throughout is on interpretation of results that provides insight and value to management.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Caulfield | On campus |
| Second semester | Caulfield | On campus |
Assessment
- Within semester assessment40%
- Examination60%
- Within semester assessment50%
- Examination50%
Learning outcomes
When you finish this unit, you should be able to:
- 1
demonstrate an understanding of different sampling techniques and their role in business
- 2
demonstrate an understanding of the role of statistical inference and its role when applied in business
- 3
interpret and analyse the results of a regression analysis and their value when applied in business.
Workload and teaching
- Seminars24 hours
- Tutorials18 hours
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Learning resources
Technology resources
There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.
Where it fits
ETF2121 is part of 2 areas of study in the 2024 handbook.
Contacts
- Chief Examiners
- Dr Hsein Kew
- Dr Joan Tan
Common questions
What are the prerequisites for ETF2121?
You need ETB1100, ETW1001, ETX1100, FIT1006, ETC1000, SCI1020, ETF1100 or STA1010 before you enrol. Enrolment rules also apply.
What can I take after ETF2121?
ETF2121 is a prerequisite or corequisite for 4 units, including ETC3550, ETC5550, ETF3231 and ETF5231. Those lead on to 10 units in all.
When is ETF2121 offered?
In 2024, ETF2121 runs in Semester 1 and Semester 2 at Caulfield.
How much work is ETF2121?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETF2121 have an exam?
Yes. The exam is worth 110% of the final mark, alongside 3 other tasks.
Which majors and minors include ETF2121?
ETF2121 is part of Business analytics and statistics.