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Dec 26, 2024
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CS 410 - Principles and Techniques of Data ScienceUnits: 3 Explores the data science lifecycle, including problem formulation, data collection and cleaning, exploratory data analysis and visualization, decision-making, and basic machine learning. Focuses on practical aspects of data pre-processing, exploration, and visualization to make inferences and predictions. Prerequisite(s): CS 311 or admission to CS graduate program. Prerequisite(s)/Corequisite(s): MATH 242 or MATH 440 or MATH 442 or admission to CS graduate program.
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