UnitLevel 5Postgraduate

ETF5912 Data analysis in business

Faculty of Business and Economics

ETF5912 Data analysis in business is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2024 in Semester 1 and Semester 2 at Caulfield. It needs ETF1100, FIT1006, ETX5900, ETB1100, ETF5900, SCI1020, ETC1000, ETM5900, STA1010, ETC5900, ETW1001 or ETX1100 and unlocks 2 units, leading on to 6 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.

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Requisites

Overview

This unit will introduce statistical concepts and their applications to business sectors of finance, accounting, marketing and management. Topics covered include: sampling techniques, confidence intervals and hypothesis testing (for both single populations and between populations). The multiple regression models and time series models -- that are very popular in data analysis and forecasting in public sectors and industries -- will be covered in detail in this unit.

Offerings in 2024

Teaching periodCampusMode
First semesterCaulfieldOn campus
Second semesterCaulfieldOn campus

Assessment

  • Within semester assessment
    40%
  • Examination
    60%
  • Within semester assessment
    50%
  • Examination
    50%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    define different sampling techniques and use Excel to generate samples from these techniques

  2. 2

    demonstrate an understanding of the role of inference and hypothesis testing in statistics and their value when applied in financial, marketing and management fields

  3. 3

    conduct hypothesis tests for means and proportions of single populations, identify significant differences between two populations in terms of means, proportions and variances and interpret the value of these techniques in business

  4. 4

    interpret and analyse the results of a regression analysis using a linear model, a model which incorporates dummy variables, or models involving nonlinear terms.

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

ETF5912 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 ETF5912?

You need ETF1100, FIT1006, ETX5900, ETB1100, ETF5900, SCI1020, ETC1000, ETM5900, STA1010, ETC5900, ETW1001 or ETX1100 before you enrol. Enrolment rules also apply.

What can I take after ETF5912?

ETF5912 is a prerequisite or corequisite for 2 units, including ETC5550 and ETF5231. Those lead on to 6 units in all.

When is ETF5912 offered?

In 2024, ETF5912 runs in Semester 1 and Semester 2 at Caulfield.

How much work is ETF5912?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does ETF5912 have an exam?

Yes. The exam is worth 110% of the final mark, alongside 3 other tasks.

Which majors and minors include ETF5912?

ETF5912 is part of Data analytics for business; and Financial and risk management.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Business and Economics
Organisational unit
Department of Econometrics and Business Statistics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 1
Study abroad
Available