My role: Graduate Teaching Assistant
This module introduces the analytical techniques of business data mining used in customer relationship management, including direct marketing for up- and cross-selling, and credit scoring for mortgages and credit cards.
It enhances students’ modelling skills on synthetic and empirical data by showing them simple statistical methods and introducing novel methods from artificial intelligence and machine learning. Although understanding basic statistics may give a better appreciation of the working of models in regression and classification tasks, the module focuses on applying algorithms on real datasets using software, and making real predictions.
The module also includes workshops in which students learn how to use the $R$ programming language for data mining (a software skill much sought after in the job market) and apply it to real datasets in a real-world scenario.