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Unit Summary
Unit type
UG Coursework Unit
Credit points
12
AQF level
Level of learning
Advanced
Former School/College
Pre-requisites
Unit aim
Provides students with the necessary knowledge and skills to effectively use business analytics to support decision making in the context of ‘big data’ as a strategic resource. As a ‘data-driven’ unit, students will be exposed to a variety of analytical techniques using software applications.
Unit content
Topic 1: Introduction to business analytics
Topic 2: Data visualisation
Topic 3: Descriptive numerical measures
Topic 4: Simple linear regression
Topic 5: Multiple linear regression - Part I
Topic 6: Multiple linear regression - Part II
Topic 7: Business Forecasting - Part I
Topic 8: Business Forecasting - Part II
Topic 9: Model Building - Part I
Topic 10: Model Building - Part II
Learning outcomes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
On completion of this unit, students should be able to: | GA1 | GA2 | GA3 | GA4 | GA5 | GA6 | GA7 | |
---|---|---|---|---|---|---|---|---|
1 | Appraise the role of data analytics and implications of big data in helping organisations identify new opportunities and turn big data into a strategic resource. | |||||||
2 | Identify patterns and trends for transformation of big data into meaningful information for use to gain competitive advantage. | |||||||
3 | Apply statistical techniques using industry software to analyse relationships in the data for forecasting and evaluation purposes. | |||||||
4 | Evaluate and communicate results of analysis in a framework for translating data analysis into decision-making outcomes in a variety of business settings. |
On completion of this unit, students should be able to:
-
Appraise the role of data analytics and implications of big data in helping organisations identify new opportunities and turn big data into a strategic resource.
- GA4:
- GA6:
-
Identify patterns and trends for transformation of big data into meaningful information for use to gain competitive advantage.
- GA1:
- GA4:
-
Apply statistical techniques using industry software to analyse relationships in the data for forecasting and evaluation purposes.
- GA4:
-
Evaluate and communicate results of analysis in a framework for translating data analysis into decision-making outcomes in a variety of business settings.
- GA1:
- GA6:
Prescribed texts
- Berenson, ML, Levine, DM, Szabat, KA, Watson, J, Jayne, N & O’Brien, M, 2019, Basic Business Statistics: Concepts and Applications, 5th edn, Pearson, Melbourne, VIC. ISBN: 9781488617249.