UnitLevel 5Postgraduate

ETF5922 Data visualisation and analytics

Faculty of Business and Economics

ETF5922 Data visualisation and analytics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2024 in Summer A and Semester 2 at Caulfield. It needs ETC1000, ETM5900, STA1010, ETC5900, ETW1001, ETX1100, ETB1100, ETF1100, FIT1006, ETX5900, ETF5900 or SCI1020 and unlocks 3 units, leading on to 5 units in all.

Credit points: 6
Offered in 2024: Summer A, Semester 2; Caulfield
Assessment: Exam 50%; and 1 other task
Workload: 144 hours; per semester

This is the 2024 handbook entry. See the 2027 entry.

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Requisites

Before ETF5922

Prerequisites

Pass these before you enrol.

One of

Prohibitions

You can't enrol if you have passed any of these.

One of

After ETF5922

3 units list ETF5922 as a prerequisite or corequisite.

Enrolment rules

If you are enrolled in course B6001, B6014 or B6030, there is no prerequisite. If you are enrolled in course B6022 and C6004, you cannot undertake this unit.

Equivalent units

The same content under another code. Only one of them counts.

Overview

Business analytics can unlock the hidden insights in data to give businesses a competitive advantage. Many businesses have masses of data about customers and operations and need skilled analysts to uncover insights and make informed predictions.

This unit uses data visualisation to explore and analyse data sets of all sizes, and it introduces some business analytic models for interpretation and prediction.

It will introduce an appropriate software environment for data visualisation, and analytics, and cover visualisation and analysis techniques for categorical and numerical variables. Visualisation methods to be covered include some of Box-and-whisker plots, Mosaics, Rotatable 3D scatter plots, Heat maps, Motion charts, and cluster and association charts. Models to be covered may include linear regression models, classification and regression trees and random forests. Methods for evaluating model performance will also be discussed. Examples from marketing, finance, economics and related disciplines will be included.

Offerings in 2024

Teaching period	Campus	Mode
Summer semester A	Caulfield	Flexible
Second semester	Caulfield	On campus

Assessment

Within semester assessment
50%
ExaminationThreshold hurdle
50%

Learning outcomes

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

1
select, create and interpret appropriate types of visual representation for a given set of data
2
select and develop model types with explanatory and/or predictive ability
3
make appropriate use of in-sample and out-of-sample evaluation of models
4
apply the above research skills to produce innovative solutions in finance, marketing, economics and related areas
5
use visualisation and modelling to effectively communicate results of investigations
6
explain the sequence of procedures that should be applied to analyse a given dataset.

Workload and teaching

Tutorials24 hours
Tutorials18 hours
Workshops36 hours
Seminars24 hours
Teaching approachProblem-based learning
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 includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.

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

ETF5922 is part of 6 areas of study in the 2024 handbook.

Contacts

Chief Examiners: Shanika Wickramasuriya; Kate Saunders

Common questions

What are the prerequisites for ETF5922?

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

What can I take after ETF5922?

ETF5922 is a prerequisite or corequisite for 3 units, including ETF5231, ETF5500 and ETF5932. Those lead on to 5 units in all.

When is ETF5922 offered?

In 2024, ETF5922 runs in Summer A and Semester 2 at Caulfield.

How much work is ETF5922?

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

Does ETF5922 have an exam?

Yes. The exam is worth 50% of the final mark, alongside 1 other task.

Which majors and minors include ETF5922?

ETF5922 is part of Business economics; Data analytics for business; Economics and health; Financial and risk management; and Marketing, and 1 other area of study.

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
Handbook years: 2020 2021 2022 202320242025 2026 2027