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Fall 2024
May 14, 2025
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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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