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Mar 28, 2024
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DATA 2203 - Data Science II This course provides additional approaches for finding relationships in higher-dimensional data using techniques of filtering, stratification, subsetting,
and consolidation. Pattern recognition methods for qualitative and quantitative data are introduced. Quantitative analysis methods including contingency tables, ANOVA, and multiple regression are demonstrated. Class 3. Prerequisite(s): DATA 2103 .
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