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DSCI 602 - Statistical Methods for Data Science |
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 |
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