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Dec 26, 2024
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2023 Undergraduate Bulletin [ARCHIVED CATALOG]
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DATA 420 - Data Analytics I
(3)
Students will learn how to gather, clean, explore, analyze, and present real world data from a variety of sources along with constructing models and interpreting feedback after model usage. Students will use programming languages such as Python and visualization software such as Tableau Public to perform the aforementioned tasks. Every Spring Term Prerequisite(s): DATA 200 , DATA 300 , ITS 345 , MATH 333 , and MATH 343
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