This course aims at introducing how businesses turn big data into values and the fundamental data science principles that govern the analytical framework.  The essence of the common data-mining tasks such as classification, probability estimation, similarity matching clustering and text mining will be covered.  The data analytics and evaluation tools including confusion matrix and receiver operating characteristics will be applied to a variety of business applications.