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Unit of Study ACC73002 - Business Analytics and Big Data (2018)

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Unit Snapshot

  • Enrolment information

    N/A

Unit description

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: Dimension reduction

Topic 4: Evaluation of predictive performance

Topic 5: Multiple linear regression

Topic 6: k-Nearest Neighbours (k-NN)

Topic 7: Logistic regression

Topic 8: Association rules and collaborative filtering

Topic 9: Cluster analysis

Topic 10: Forecasting - Part I

Topic 11: Forecasting - Part II

Topic 12: Revision

Availabilities

Location Domestic International
Gold Coast Session 2 Session 2
Lismore Session 2 Session 2
Melbourne N/A Session 2
Online Session 2 N/A
Perth N/A Session 2
Sydney N/A Session 2

Learning outcomes and graduate attributes

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: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
Learning outcome count Learning outcome description 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:

  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.
    • GA4:
    • GA6:
  2. Identify patterns and trends for transformation of big data into meaningful information for use to gain competitive advantage.
    • GA1:
    • GA4:
  3. Apply statistical techniques using industry software to analyse relationships in the data for forecasting and evaluation purposes.
    • GA4:
  4. 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 learning resources

Prescribed Texts
  • No prescribed texts.

Prescribed Learning Resources may change in future Teaching Periods.