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Unit Summary

Unit type

UG Coursework Unit

Credit points

12

AQF level

7

Level of learning

Advanced

Pre-requisites

have successfully passed ACC73002 - Business Analytics and Big Data AND - Computational Thinking

Co-requisites

have successfully passed or be enrolled in - Visualize and Communicate Data

Unit aim

Provides students with the knowledge and skills to utilise contemporary data analytics tools. Students will be introduced to big data technologies, and learn to build data analytics solutions using contemporary tools and technologies to aid decision-making.

Unit content

Business intelligence
Contemporary data analytics tools
Accessing data and data wrangling
Building business analytics solutions
Decision-making using data analytics
Introduction to big data
Big data technologies

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.

GA1: , GA2: , GA3: , GA4: , GA5: , GA6: , GA7:
On completion of this unit, students should be able to: GA1 GA2 GA3 GA4 GA5 GA6 GA7
1 describe business intelligence systems and their role in decision making
2 identify contemporary data analytics tools
3 explain big data and the technologies associated with it
4 evaluate contemporary data analytic tools to develop business intelligence systems to aid decision making

On completion of this unit, students should be able to:

  1. describe business intelligence systems and their role in decision making
    • GA4:
  2. identify contemporary data analytics tools
    • GA4:
  3. explain big data and the technologies associated with it
    • GA4:
  4. evaluate contemporary data analytic tools to develop business intelligence systems to aid decision making
    • GA1:
    • GA2: