Detailed Course Information |
Fall 2021
May 09, 2025 |
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| CMPS 360 - Data Science Fundamentals |
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Fundamental data science algorithms, methods and tools for analyzing data to effectively solve a broad set of data analysis problems and derive valuable insights from data. Including data collection and integration, data cleaning, various analytical approaches including exploratory data analysis, prediction models, statistical analytics, and data visualization. Acquiring a working knowledge of data science through hands-on projects on real datasets using common Data Science application development tools.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Computer Science & Engineering Department Course Attributes: Engineering Course (TUI) Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: Undergraduate level CMPS 351 Minimum Grade of D |
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