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Jun 18, 2025
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ARIN 3000 - Data Science
Credits: 3
Lecture Hours: 3
Laboratory Hours: 0
This course introduces students from all disciplines to the foundations of data science. Topics include data preprocessing, basic statistics, machine learning techniques (classification, clustering, regression), and data visualization. The course emphasizes practical skills through hands-on activities using Weka, an open-source machine-learning toolkit. Offered FA, SP.
Prerequisite(s): a grade of “C” or higher in ARIN 1000 .
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