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Summer 2023
Jul 12, 2024
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Information Select the desired Level or Schedule Type to find available classes for the course.

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

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

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Release: 8.7.2.4