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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 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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