The information age has combined with the widespread adoption of digital technology to turn information into a key business asset. Organizations now have access to massive volumes of data from diverse sources and require skills and expertise in making sense of this information for strategic decision making. Predictive analytics refers to a variety of statistical and analytical techniques used to develop models that predict future events from data. This subject will provide you with the knowledge and skills to build and use predictive models in real business scenarios. You will be given the opportunity to gain hands-on experience with one of the globally most widely used predictive analytics software tools. Case studies such as target marketing and customer churn analysis will be used to demonstrate the business value of predictive analytics. A number of related data mining and machine learning techniques such as neural networks, decision trees, customer segmentation and profiling will also be taught. The effect of big data, stream analysis and text analytics on traditional predictive techniques will also be discussed.

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