Handbook

In this course, you will learn different data analytics methods and machine learning algorithms, essential quantitative skills that highly demanded in all business disciplines, focusing on practical industry applications of statistical modelling and analytical tools (using R and Python). The course covers regression and classification models, model selection and validation methods, linear and non-linear models, decision trees, machine learning algorithms, and ethical, social and regulatory issues associated with quantitative analytics. A particular focus will be placed on an industry-oriented capstone project and communicating technical results to a wide range of business audiences.