CSCI 39542
Download as PDF
CSCI 39542 - Intro to Data Science (3 cr)
Computer ScienceARTSC - School of Arts and Sciences
Course Title
Intro to Data Science
Catalog Description
This topics course focuses on computational methods and statistical techniques to analyze data and make inferences. Topics include data collection and cleaning, exploratory data analysis and visualization, and statistical inference and prediction. Students will acquire a working knowledge of data science through hands-on projects with real-world data. Basic proficiency in statistics and Python programming is assumed, as well as experience with matrix algebra or abstract data structures.
Course Attributes
COPT - COPT (College Option)
Minimum
3
Max
3
Academic Progress Units
3
Repeat For Credit
No
Requirement Designation
Regular Liberal Arts
Prerequisites & Corequisites
035346
Lecture