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INFO 212 Data Science Programming I 3.0 Credits

Introduces the main tools and ideas in the data scientist’s toolbox. Focuses writing interactive and programming code for extracting, cleansing, wrangling, transforming, reshaping, and analyzing data. Covers practical tools and ideas including Linux command line, version control, git, and interactive programming. Studies various Python packages for high performance data analysis.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 153 [Min Grade: D] or CS 172 [Min Grade: D]

Software Engineering

...Summer Credits INFO 420 3.0 INFO 310...141 , ANIM 211 , ANIM 212 , and Foreign Language...

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