Detailed Course Information

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CS 365 - Data Wrangling
Introduction to the fundamentals of data wrangling including processes of data acquisition, integration, transformation, and cleaning throughout the data life cycle. Emphasis on the importance of data quality with topics in data integrity, security, and social responsibility. Techniques for effective visualization and communication through project work. *Prerequisite: CS 215 and CS 265.* 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate

CS 365 - Data Wrangling

Introduction to the fundamentals of data wrangling including processes of data acquisition, integration, transformation, and cleaning throughout the data life cycle. Emphasis on the importance of data quality with topics in data integrity, security, and social responsibility. Techniques for effective visualization and communication through project work. ***Prerequisite: CS 215 and CS 265.***
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Examination

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:
Undergraduate
Graduate

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Detailed Course Information

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