DATA 202 - Predictive Analytics

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FA. A conceptual and practical introduction data preparation, visualization, and predictive analytics. Students will use programming to construct generalizable workflows to acquire, filter, transform, and combine data sets from various sources; to construct quantitative summaries and basic visualizations; and to apply a range of modeling tools to label and predict data. Students will also discuss ethical and social considerations of data collection and data-driven systems. Prerequisite(s): CS 104, CS 106, or CS 108. A minimum grade of C in the chosen course is required. Lab fee: $20.