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MAT 165 - Introduction to Data Science

This course covers techniques for working with data, including getting and cleaning data, exploratory data analysis, data visualization, and statistical modeling and prediction. Students will learn how to ask good questions, apply data to practical problems, and communicate data analytic results. Statistical computing is integrated into the course. This course carries SUNY General Education Mathematics (and Quantitative Reasoning) credit. Prerequisite: Placement into Math Level 3 Placement or Take MAT 145 with