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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]

Data Science

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Architectural Engineering

...AE 3.0 CAEE 212 Geologic Principles for...Design II 4.0 INFO 210 Database Management...

Software Engineering

...any non-required CS, INFO, SE course numbered...141 , ANIM 211 , ANIM 212 Writing-Intensive Course...

Accelerated BA in Philosophy and MS in Public Policy

...Reality 3.0 PHIL 212 Ancient Philosophy 3...Communication Econometrics 3.0 INFO 680 US Government...

Interactive Digital Media

...II 3.0 IDM 212 User Interface Design...Interaction Design 3.0 INFO 110 Introduction to...

Teacher Education: English

...Pedagogy Seminar 1.0 INFO 101 Introduction to...I 3.0 ENGL 212 British Literature II...

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