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Unit Summary

Unit type

UG Coursework Unit

Credit points

12

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

Module 1: Summarising sample data

Module 2: Simple linear regression

Module 3: Multiple linear regression

Module 4: Business Forecasting (Part I)

Module 5: Business Forecasting (Part II)

Module 6: Model Building

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:
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:

  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.

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.
Prescribed texts may change in future teaching periods.