TIM-8520 - Inferential and Predictive Analytics

Semester Credits: 3 Weeks: 8

Establishing insights concerning population estimates, while understanding and communicating knowledge about variance in likely outcomes, is a fundamental skill of a data scientist. At the doctoral level, you will apply this understanding to the delivery of documentation for an audience of stakeholders who hinge key business decision-making on understanding the likelihood of an event’s occurrence. Within the academic setting, this understanding drives the development of foundational knowledge for research in the resolution of problem settings. In this course you will learn how to understand probability functions to apply your knowledge as a decision-maker or educator.