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 2021 in Semester 2 and Summer B at Caulfield. It needs ETC1000, ETM5900, STA1010, ETC5900, ETW1001, ETF1100, FIT1006, ETB1100, ETF5900 or SCI1020 and unlocks 2 units.
- Credit points
- 6
- Offered in 2021
- Semester 2, Summer B
- Caulfield
- Assessment
- Exam 50%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2021 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETF5922
Prohibitions
You can't enrol if you have passed any of these.
Prerequisites
Pass these before you enrol.
- ETC1000Business and economic statisticsNo reviews yet
- ETM5900Business statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
- ETC5900Business statisticsNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- ETF1100Business statisticsNo reviews yet
- FIT1006Business information analysisNo reviews yet
- ETB1100Business statisticsNo reviews yet
- ETF5900Business statisticsNo reviews yet
- SCI1020Introduction to statistical reasoningRated 5.0 out of 5 from 1 review
After ETF5922
2 units list ETF5922 as a prerequisite or corequisite.
Enrolment rules
If you are enrolled in course B6001 or B6014, 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 2021
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Caulfield | On campus |
| Summer semester B | Caulfield | Block on |
Assessment
- Within semester assessment50%
- ExaminationThreshold hurdle50%
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
- Tutorials36 hours
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. The unit requires on average four hours of scheduled activities per week when taught in trimester mode, and three to four hours three times per week when taken as a summer unit. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
Where it fits
ETF5922 is part of 2 areas of study in the 2021 handbook.
Contacts
- Chief Examiners
- Dr Lauren Kennedy
- Dr Klaus Ackermann
Common questions
What are the prerequisites for ETF5922?
You need ETC1000, ETM5900, STA1010, ETC5900, ETW1001, ETF1100, FIT1006, ETB1100, ETF5900 or SCI1020 before you enrol. Enrolment rules also apply.
What can I take after ETF5922?
ETF5922 is a prerequisite or corequisite for 2 units, including ETF5500 and ETF5932.
When is ETF5922 offered?
In 2021, ETF5922 runs in Semester 2 and Summer B 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 Financial and risk management; and Marketing.