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Dec 21, 2024
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COSC 426 - Introduction to Data Mining and Analytics3 Credit Hours
Modern data science methods, tools of the trade, real-world data sets, and leveraging the power of high performance and cloud resources to extract insights from data. Upon completing the course, students will learn to create reproducible and explanatory data science workflows, to implement parallel clustering methods, to address imperfections in real-world datasets, and to extract insights from a high-dimensional dataset.
(RE) Prerequisite(s): COSC 302 or COSC 307 with a grade of C or better; MATH 251 or MATH 257 with a grade of C or better; and ECE 313 or ECE 317 or MATH 323 with a grade of C or better.
Comment(s): Prior knowledge may satisfy prerequisites with consent of instructor.
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