DS2500
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Data Wrangling
Description
The course will introduce students to basic techniques in collecting, scrapping, transforming, and normalizing data, as a first step in a data science pipeline. Students will learn by working with a variety of standard data processing tools, and experimenting on numerous example tasks.
Minimum Credits
3
Maximum Credits
3
Repeat for Credit
No
Required Requisite(s):
Prerequisites: 'C' or better in (CS 1410 OR CS 1420 OR COMP 1020 OR MATH 1070).
Semesters Typically Offered
Fall and Spring