Detailed Course Information |
Spring 2025
Mar 13, 2025 |
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| DSCI 602 - Statistical Methods for Data Science |
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Discrete random variables and their distributions, continuous random variables and their distributions, sampling distributions and the central limit theorem, estimation, hypothesis testing.
Prerequisite recommended: DSCI 601 or permission of the director of the MSDS program
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Online (Asynchronous) Coll of Sciences & Humanities Department Course Attributes: Coursera Course Restrictions: Must be enrolled in one of the following Levels: Graduate |
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