Advanced Analytics for Data Science (Term 2)
The increasing availability of data is changing the way organisations think about themselves and the way they interact with the world. Data is helping improve the profits of businesses, the quality of life of individuals, the predictions on the performance of sports teams, and social interactions. In this course, you will learn how to use data and analytics to give you an edge. The course will expose students to real-world examples of how analytics is being used. Through various examples, you will learn how to use tools of analytics such as linear regression, logistic regression, PCA, model reduction, classification and regression trees, graphical models, visualisation, text analytics, clustering, and optimisation in practice. The statistical software R and spreadsheets will be used in the course.