This hands-on course helps you use predictive analytics for improving business performance using techniques such as data mining, statistics, modeling, machine learning, and artificial intelligence.
What you can learn.
- Identify instances where predictive analytics could be employed to gain insights for making good decisions
- Use predictive analytics to solve business, marketing, and economic problems
About this course:Predictive 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 learn how to identify situations where predictive analytics could be used; you 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 the theoretical basis of predictive analytics. By the end of the course, you will be able to use predictive analytics techniques for solving business problems.
It is advisable that you complete the following (or equivalent) since they are prerequisites for Predictive Analytics.
Winter 2020 Schedule
These courses meet in person and make use of an online presence to varying degrees.
Enrollment limited. Enrollment deadline: January 14, 2020. Internet access required. Materials required.