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CS 711 - Foundations of Data Science |
Broad overview of the data science process lifecycle and methods. Topics include data ethics, data discovery, data preparation, model planning, machine learning model implementation, and evaluation, visualization, and delivery.
0.000 OR 3.000 Credit hours 3.000 Lecture hours 0.000 TO 3.000 Lab hours Levels: Graduate Schedule Types: Lecture, Lab, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Programs: MSc CS (HCC) Course MSc Computer Science Project MSc CS (Data Science) Course MSc Computer Science Thesis MSc Computer Science Course Must be enrolled in one of the following Levels: Graduate |
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