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1) Understand different stages involved in building a data processing pipeline.

Advanced Data Science

Rationale: This coursework is most suited for assessing the learning outcomes of the module providing the practical nature of the Data Science field. The area is growing fast and the interest in machine learning solutions constantly increases. Learning to formulate and solving practical and research-oriented data-driven projects will ensure your continuing employability through development of analytical soft skills.

Learning Outcomes to be Assessed:

1) Understand different stages involved in building a data processing pipeline.

2) Critically evaluate and practice implementing a wide range of different algorithms and modern tools used to solve data science tasks.

3) Apply learned techniques to formulate and solve real-life data-based problems.

4) Communicate technical information in a range of formats appropriate to a specific audience.

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