Assignment Task
Module Learning Outcomes (MLOs) assessed
MLO1 – Demonstrate critical understanding of data science principles, methods, techniques and tools used within organisational context.
MLO2 – Systematically identify and analyse complex data related problems and develop critical responses that balances real-world practical experience with research and
theoretical discourse.
MLO3 – Demonstrate a critical awareness of the professional, ethical, social and legal issues involved in the in the use of data in an organisational environment.
MLO4 – Analyse own actions and performance using personal reflection, coaching and work-based learning techniques, and uses results of the self-assessment to inform
future learning and improve organisational performance
Assignment Task and Guidance
In this assignment you are required to demonstrate knowledge and skills gained on this module. You are required to design a data infrastructure that satisfies a business challenge or opportunity in your organisation or sector. The data infrastructure should identify data sources, data storage organisation, transmission pipelines, and the creation of the analytics record(s). Additionally you will develop an artefact that demonstrates how data can be analysed and visualised for presentation to
business users. As a demonstration exercise you will show how a hypothesis can be developed and tested using statistical methods as well as visualisation techniques. Additionally, you will need to consider legal and ethical aspects in the handling of data, and finally you are expected to engage in a personal reflection on your learning experience.
The assignment consists of five parts:
1. The design of the infrastructure
2. The development of a demonstrable artefact
3. The testing of hypotheses
4. Consideration of legal and ethical aspects of the proposed system (as it currently stands and considering potential future inclusion of machine learning)
5. Personal reflection on the learning experience
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