DSA 330 - Introduction to Data Science II

[3 credit(s)]

Prerequisite: DSA 230 and STA 323. This course introduces the principles, methodologies and techniques to build data science systems and models. In addition, this course introduces the techniques to assess input data, and quality of output as well as the principles and methodologies involved in the data science techniques such as classification, clustering, and association. The course is designed to ensure the students have the ability to apply, analyze, and evaluate different data science techniques.

Semesters Offered: Every Fall and Spring

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