APCV361
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APCV361 - Data Analysis and Visualization
Course Description
This course 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.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Enrollment Requirements
017516
Component
Lecture
Optional Component
No
Typically Offered Main Campus
Not Offered
Typically Offered Distance Campus
Fall
Typically Offered Online Campus
Fall
Typically Offered Phoenix Campus
Not Offered
Typically Offered Sierra Vista Campus
Fall
Typically Offered Community Campus
Not Offered