APCV303
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APCV303 - Community Data Fluency for All
Course Description
Data literacy and data presentation are key skills that are prerequisites for data-driven professions. In this class, students will learn how to understand, question, and work with data from various public community data resources. Students will study the nature of data; apply quantitative techniques to analyze data; design and present data visualizations; and interpret their research findings. Statistical analyses, data processing techniques, and software utilization will be presented. Students will be prepared to ask important questions and solve problems from the perspectives of data science and public health.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Course Attributes
GEED - BC (Gen Ed: Building Connections)
Component
Lecture
Optional Component
No