Typically offered every Fall and Spring
Description: APCV 361 Data Analysis and Visualization will lay a foundation for students to understand how to process, analyze, and visualize data. Topics include data collection and integration, exploratory data analysis, statistical inference and modeling, machine learning, and data visualization. The emphasis of the course topics will be placed on integration and synthesis of concepts and their application to solving problems. Students will explore these topics using software tools. Course prerequisites are APCV302, APCV320, prior Python programming experience. The course is only available to CAST students.
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