67-360 Applied Analytics
9 units, Carnegie Mellon University
Businesses and organizations are currently in a paradoxical situation where they are drowning in data but starving for knowledge. From tracking purchases at traditional retail stores to logging browsing patterns at online stores, modern business are adept at collecting data about their customers. The analytics challenge is how to interpret and distill this data into actionable knowledge. This class will introduce you to a range of technologies and methods for extracting business intelligence from data to anticipate customer needs and create new opportunities. We will examine how various business processes can be improved with casestudies and examples from the fields of fraud detection, moviebox office, credit scoring, customer churning and retention. These are some of the analytic strategies used by companies such as Google, Amazon, Netflix, and Facebook to better understand and target their customers. The overall objective of this class is to introduce you to practical business analytics skills which are in high demand in the current job market. The class will be handson with various analytics tools such as the SAS Enterprise Miner. This course may count toward the Decision Science and Rational Choice old curriculum and Quantitative Analysis and Research Methods new curriculum. Students could also use it as an IS elective for the professional core or content area Quantitative Analysis and Research Methods. Prerequisite 15121 or consent of the instructor.
Prerequisites: 15-111 or 15-211 or 15-122 or 15-121
Courseweave needs JavaScript to show sections, workloads and planning tools.