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, … For more content click the Read More button below.
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
S2-01-CAULFIELD-ON-CAMPUS
SSA-02-CAULFIELD-FLEXIBLE
Requisites
Prerequisite
Prohibition
Rules
Enrolment Rule
Contacts
Chief Examiner(s)
Shanika Wickramasuriya
Kate Saunders
Teaching approach
Problem-based learning
Active learning
Assessment
1 - Within semester assessment
2 - Examination
Scheduled and non-scheduled teaching activities
Seminars
Tutorials
Workshops
Workload requirements
Workload
Learning resources
Technology resources
Other unit costs
Costs are indicative and subject to change.
Electronics, calculators and tools: $100