ETO5922 Data visualisation and analytics
Faculty of Business and Economics
ETO5922 Data visualisation and analytics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2022. It needs ETO5510.
- Credit points
- 6
- Offered in 2022
- Other periods
- Monash Online
- Assessment
- Exam 50%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2022 handbook entry. See the 2025 entry.
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Requisites
Before ETO5922
Prohibitions
You can't enrol if you have passed any of these.
Prerequisites
Pass these before you enrol.
After ETO5922
No unit lists ETO5922 as a prerequisite in the 2022 handbook.
Enrolment rules
You must be enrolled in course A6032, B4008, B6025 or B6028 to 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 2022
| Teaching period | Campus | Mode |
|---|---|---|
| Teaching period 1 | Monash Online | Online |
| Teaching period 4 | Monash Online | Online |
Assessment
- Within semester assessment50%
- Examination50%
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
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. Scheduled activities may include a combination of directed learning, peer directed learning and online engagement.
Contacts
- Chief Examiners
- Dr Klaus Ackermann
Common questions
What are the prerequisites for ETO5922?
You need ETO5510 before you enrol. Enrolment rules also apply.
When is ETO5922 offered?
ETO5922 has no offerings listed in the 2022 handbook.
How much work is ETO5922?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETO5922 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 1 other task.