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Oct 31, 2024
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2021-2022 Undergraduate Catalog [ARCHIVED CATALOG]
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DSE 1001 - Foundations of Data Science ICredits: 4 An introduction to data science with an emphasis on developing and reinforcing the appropriate skills to tackle data projects and “think with data.” The course features a series of real-world extended case studies and examples from a broad range of application areas, including business, politics, sports, environmental science, public health, social media, and entertainment. Topics include data curation, data extraction techniques, modern data visualization approaches, and data ethics. This hands-on class will meet in a computer lab; in-class activities will include weekly lab assignments using the statistical software package R/RStudio. No prior knowledge of programming is required. Prerequisite(s): Prerequisite: MTH 1000 , Concepts in Algebra, or placement into math class beyond MTH1000 Fulfills: STEM in LS Core
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