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Predictive analytics uses techniques, such as statistics and machine learning, to build predictive models, often using big data to test and validate these models. Explore key features of predictive analytics and big data.

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Objectives

Predictive Analytics and Big Data start the course recognize what predictive analytics is, the types of models used, and what its goals are recognize what types of questions are answered by predictive analytics and who uses it identify key features of predictive analytics recognize key features of big data recognize the considerations of using big data and what the sources are Predictive Analytics Evolution identify key features of time series, uplift, and logistic models identify key features of classification trees, neural networks, support vector machines, and Bayesian networks recognize key differences between predictive analytics and traditional business intelligence