/ Students will engage in the data endeavor process in this course, exploring the key stages of acquisition, preparation, analysis, and action in the context of real-world problem solving. Students will engage in all aspects of applied data analysis in a project-based environment. Statistical, visualization, and database software will be utilized throughout this process with a particular emphasis on exposing students to SQL, in addition to expanding modeling capabilities such as forecasting techniques, applied regression, and machine learning algorithms. Prerequisite: MATH 228
Grade Basis: Letter Grade
Credits: 4.0
Prerequisites:
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