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Unit Summary

Unit type

UG Coursework Unit

Credit points

12

Unit aim

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.

 

 

Unit content

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

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 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:

  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.