May 13 and 14 | 5:30 to 7:30 p.m.
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Several statistical and predictive models are presented in the course to assist students in making business decisions based on data analytics and predictive models. Students apply these models to real-world business challenges. As a result, they will propose optimal methods for integrating and calibrating these models and algorithms to enhance data quality, usability, and predictive analysis, thus improving the overall management of system workloads and business decisions.
May 13: Oshawa Campus May 14: Whitby CampusExplore programs starting in SeptemberRegister Now