MIST.6180 Causality and Modern Methods for Analytics
Id: 036990 Credits: 3-3Description
The course focuses on modern analytics methods and casual inference techniques with applications in business and social sciences. Topics include model interpretation, model uncertainties, methods for causal inference, text analytics, deep learning, and recent development in artificial intelligence. Drawing from economics, statistics, and machine learning, this course will elevate students' ability in deriving business insights using various types of data and appropriate modern analytics methods.
Prerequisites
Pre-req- MIST.6060 Business Intelligence and Data Mining, and POMS.6120 Statistics for Predictive Analytics, or Permission by Instructor or Program Coordinator.
Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.