The course objective is to continue work from Predictive Analytics 1, and introduce additional techniques in predictive analytics, also called predictive modeling, the most prevalent form of data mining. Four modeling techniques are used: linear regression, logistic regression, discriminant analysis, and neural networks. The course includes hands-on work with Python.