Provides students with the knowledge and skills to utilize contemporary data analytics tools. Students are introduced to big data technologies and learn to build data analytics solutions using data analytics tools and technologies to solve real-world problems and aid decision-making.
Topic 1: Business and market intelligence
Topic 2: Introduction to big data
Topic 3: Data analytics tools
Topic 4: Accessing data and data wrangling
Topic 5: Building business analytics solutions using data analytics tools
Topic 6: Decision-making using data analytics
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||explain big data and the technologies associated with it|
|2||identify contemporary data analytics tools|
|3||describe business intelligence systems and their role in decision making|
|4||evaluate contemporary data analytic tools to build business intelligence systems to aid decision making.|
On completion of this unit, students should be able to:
- explain big data and the technologies associated with it
- identify contemporary data analytics tools
- describe business intelligence systems and their role in decision making
- evaluate contemporary data analytic tools to build business intelligence systems to aid decision making.
- Prescribed text information is not currently available.
Teaching and assessment
Commonwealth Supported courses
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