APCV361

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APCV361 - Data Analysis and Visualization

Applied Sci & Tech, Col of Undergraduate UA - UA General

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

Name

Lecture

Workload Hours

3

Optional Component

No