Firms now have more data than ever generated from transaction processing systems, internal and external documents, and online activities such as web sites, shopping experiences, and social networks. The challenge is to apply novel analytical and computing methods to derive insights from such business data and develop effective strategies or applications accordingly. This course aims to utilize and integrate analytical models and methods from business domains such as Econometrics and technology domains such as machine learning (data mining), to analyse large-scale business data sets. The main topics include Causal Inference, Social Network Analysis, Data Mining (Text and Web Mining), Recommendation Systems, and Integration of Econometrics and Machine Learning. The semester concludes with a final exam and a final project.