Analytics II

Business professionals including those in environmental health and safety (EHS) management, use statistics every day in making decisions. In this graduate-level course, you will gain an overview of the data analytic process and data mining techniques used for discovery knowledge from datasets. The course is designed to highlight the practical aspects of data mining methods and their applications, rather than theoretical aspects of statistical machine learning or optimization. The course also introduces emerging trends in Data Analytics and their applications in decision making process on environmental issues such as sustainability which includes waste management, water, and energy conservation. In summary, data is now an integral part of our lives and to be successful in today’s business landscape, we need to be able to leverage data to make critical business decisions on environmental sustainability. This course will teach students how to use data to make those decisions confidently. Prerequisite: EPM 4610.