Course DescriptionPredictive analytics deals with making predictions about the future via information of the past and of the present. It uses techniques such as data mining, statistics, modeling, machine learning, and artificial intelligence. Predictive analytics is widely used to solve real-world problems in business, government, economics, and even science, from meteorology to genetics. This hands-on course helps you use predictive analytics for improving business performance. Through several case studies you will learn how to identify situations where predictive analytics could be used. You will learn tools and acquire skills for data definition, extraction, transformation, analytical modeling, and for exploiting patterns found in historical and transactional data for identifying risks and opportunities. This course focuses more on tools and applications than on theoretical basis of predictive analytics. By the end of the course, you will be able to use predictive analytics techniques for solving business problems.