Case Studies in Data Science teaches you the end-to-end process of approaching a Data Science problem, including how to pose a Data Science question for a given domain and problem; the application of Design Thinking to structure an approach; how to implement a Data Science task using teamwork and lean methodology; how to evaluate results and present them to stakeholders. All techniques will be presented in the context of ethical practice, data security, privacy and governance, and legal and regulatory constraints.

Various case study options will be offered involving different business domains (e.g., finance, health, transport, etc) and/or different types of data (e.g., structured, text, large-scale).

This course will prepare you for undertaking the Data Science Postgraduate Project (COSC2667) and so includes a work integrated learning experience in which your knowledge and skills will be applied and assessed in a simulated workplace context where feedback from data scientists working in industry is integral to your experience.