CSC 473 - Applied Statistical Modeling

The course is designed to prepare students to analyze big data by implementing statistical models. Statistical models include tools such as generalized linear models, regression models, time-series prediction models, and bootstrapping. The course provides open-ended problem-solving techniques for multiple projects, such as spam detection, weather prediction, and risk management.

Prerequisites and Corequisites
Pre-Req:

CSC 350 - Algorithms & Data Structures

Cross-listed: Dual Listed with CSC 573

Credits: 3

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