Business Analytics Project Management

Catalog description

This course teaches the complete lifecycle of how organizations turn data into better decisions. It focuses on how to formulate business problems, find necessary data, translate business problems into specific data mining tasks, apply statistical and machine learning tools to answer questions, and then evaluate, deploy, and monitor the models. Emphasis is on the organizational context of this process: where data comes from, who owns it, who needs the information, and the decisions impacted by the effort. The CRoss Industry Standard Process for Data Mining (CRISP-DM) model will be used to describe the data science life