Singapore University of Social Sciences

RSS503 Statistics and Data Analysis focuses on understanding data, discovering connections in data and finding patterns in data. It covers a range of statistical methods such as regression and factor analysis, as well as data mining models, including artificial intelligence and decision machine approaches (e.g., association analysis, neural networks and decision trees), for analysing and interpreting data. It also explores topics beyond predictive modelling, such as prescriptive analytics. The course uses statistics and data mining software to provide students with hands-on experience in working with data sets, generating and interpreting results, and applying and deploying the findings. RSS503 adopts an applied (and not mathematical) approach to looking at data that is aimed at preparing students to undertake research/analytics projects. Students taking this course are expected to have some background in statistical methods and analysis.