UnitLevel 2Undergraduate

ETX2250 Data visualisation and analytics

Faculty of Business and Economics

ETX2250 Data visualisation and analytics is a level 2, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2020 in Semester 2 and Summer B at Caulfield. It needs ETF1100, SCI1020, ETB1100, ETW1000, STA1010, ETW1100, ETC1000 or FIT1006.

Credit points
6
Offered in 2020
Semester 2, Summer B
Caulfield
Assessment
Exam 50%
and 1 other task
Workload
144 hours
per semester

This is the 2020 handbook entry. See the 2027 entry.

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Requisites

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, 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 2020

Teaching periodCampusMode
Second semesterCaulfieldOn campus
Summer semester BCaulfieldBlock on

Assessment

  • Within semester assessment
    50%
  • ExaminationThreshold hurdle
    50%

Learning outcomes

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

  1. 1

    select, create and interpret appropriate types of visual representation for a given set of data

  2. 2

    select and develop model types with explanatory and/or predictive ability

  3. 3

    make appropriate use of in-sample and out-of-sample evaluation of models

  4. 4

    apply the above research skills to produce innovative solutions in finance, marketing, economics and related areas

  5. 5

    use visualisation and modelling to effectively communicate the results of their investigations

  6. 6

    explain the sequence of procedures that should be applied to analyse a given dataset.

Workload and teaching

  • Lectures24 hours
  • Workshops36 hours
  • Laboratories12 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

ETX2250 is part of 5 areas of study in the 2020 handbook.

Contacts

Chief Examiners
Dr Klaus Ackermann
Dr Lauren Kennedy

Common questions

What are the prerequisites for ETX2250?

You need ETF1100, SCI1020, ETB1100, ETW1000, STA1010, ETW1100, ETC1000 or FIT1006 before you enrol.

When is ETX2250 offered?

In 2020, ETX2250 runs in Semester 2 and Summer B at Caulfield.

How much work is ETX2250?

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

Does ETX2250 have an exam?

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

Which majors and minors include ETX2250?

ETX2250 is part of Business analytics, Business statistics and Econometrics.

More details

Credit points
6
Level
2
Study level
Undergraduate
Faculty
Faculty of Business and Economics
Organisational unit
Department of Econometrics and Business Statistics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 3
Study abroad
Not available