1.   | Group Project Plan (300 words per student) | 10% | - 2 - Critically analyse the role of data analysis task in an organisational context.
- 3 - Justify the process or methods used to analyse large data sets.
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2.   | Group Project Presentation (4 mins per student) | 30% | - 1 - Apply appropriate statistical techniques to evaluate data analysis models.
- 3 - Justify the process or methods used to analyse large data sets.
- 4 - Design and implement a pipeline to analyse a large heterogenous dataset.
- 6 - Apply communication skills to present data processing results, orally and in written form.
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3.   | Individual Mid-Semester Test (1 hour) | 20% | - 1 - Apply appropriate statistical techniques to evaluate data analysis models.
- 2 - Critically analyse the role of data analysis task in an organisational context.
- 3 - Justify the process or methods used to analyse large data sets.
- 5 - Ability to process large data sets using appropriate technologies.
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4.   | Group Project Report (2000 words per student) | 40% | - 1 - Apply appropriate statistical techniques to evaluate data analysis models.
- 2 - Critically analyse the role of data analysis task in an organisational context.
- 3 - Justify the process or methods used to analyse large data sets.
- 4 - Design and implement a pipeline to analyse a large heterogenous dataset.
- 5 - Ability to process large data sets using appropriate technologies.
- 6 - Apply communication skills to present data processing results, orally and in written form.
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