DATA201
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DATA201 - Foundations of Data Science
Course Description
According to the Bureau of Labor Statistics, three-quarters of all STEM jobs in the next decade will have a substantial Data Science component in the job description. This course is designed to answer the fundamental questions \"What is data science\", and, \"How can I use data science in my future STEM career\". Through an in-depth exploration of the three perspectives of data science - data wrangler, data analyst, and data storyteller- supported by the foundation of data technologies and ethics, students will engage with fundamental concepts in data science while enhancing critical skills in computer programming and statistical inference to analyze real-world big, complex scientific data from their fields. Upon course completion, students will be prepared to utilize all perspectives of data science to extract insights from the data in their areas of study using quantitatively intensive approaches and be able to communicate their findings.
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)
Enrollment Requirements
019401
Name
Laboratory
Workload Hours
1
Optional Component
No
Name
Lecture
Workload Hours
2
Optional Component
No
Typically Offered Main Campus
Fall, Spring
Typically Offered Distance Campus
Spring
Typically Offered UA Online Campus
Not Offered
Typically Offered Phoenix Campus
Not Offered
Typically Offered South Campus
Not Offered
Typically Offered Community Campus
Not Offered