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Fall 2021
May 18,2022
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Information Select the desired Level or Schedule Type to find available classes for the course.

MATH 570 - APPLIED STATISTICS
This course gives an introduction to statistical methods used in data science with an emphasis on applications. Topics may include foundations of probability, univariate and multivariate random variables and distributions, special distributions, Central Limit Theorem, one- and two-sample methods, point estimation, interval estimation, hypothesis testing, regression analysis, Bayesian analysis, data analysis and model building.
0.000 TO 3.000 Credit hours
0.000 TO 3.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Hybrid, Lecture, Lecture/Online, Online Course

Mathematics Department

Course Attributes:
DATA COURSE FOR GRAD FEE ASSES

Restrictions:
Must be enrolled in one of the following Programs:     
      Non-Degree-MSDS
      MS-Data Science
Must be enrolled in one of the following Levels:     
      Graduate

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