Course overview
In this course, students will complete a medium-scale, industry-inspired, data science project. This project will involve evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem. Working with a real-world, industry-motivated dataset, students will develop their data science skills and knowledge and demonstrate autonomy, initiative and accountability. Students will need to reflect on the nature of their data and identify any social and ethical concerns and identify appropriate ethical frameworks for data management. As part of the course students will deliver a written and oral presentation of their project design, plan, methodologies, and outcomes.
Course learning outcomes
- Apply data analysis principles and theory to process and analyse real world big data
- Evaluate data analysis techniques by applying real world datasets using benchmark metrics
- Develop algorithms based on learnt techniques for the statistical analysis of big data
- Identify project goals; develop project milestones and execute them accordingly
- Analyse known industry studies and simulate assessment by following industry standards