The course provides an introduction of a variety of predictive models useful for business operations and marketing analysis.  It includes modern non-linear methods as supervised learning algorithms and unsupervised learning algorithms.  The data pre-processing such as dimension reduction, statistics for model evaluation, predictions and interpretation will be covered.  A diverse set of real-world examples will be used to demonstrate the applicability of those methods.