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Statistical Methods for Data Science
CS 6313
Erik Jonsson School of Engineering and Computer Science
Statistical methods for data science. Statistical Methods are developed at an intermediate level. Sampling distributions. Point and interval estimation. Parametric and nonparametric hypothesis testing. Analysis of variance. Regression, model building and model diagnostics. Monte Carlo simulation and bootstrap. Introduction to a statistical software package. 3 credit hours.
Prerequisite: CS 3341 or SE 3341 or STAT 3341 or equivalent.
Offering Frequency: Each semester
Grades: 2,238
Median GPA: A
Mean GPA: 3.602
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Statistical Methods for Data Science
CS 6313
Erik Jonsson School of Engineering and Computer Science
Statistical methods for data science. Statistical Methods are developed at an intermediate level. Sampling distributions. Point and interval estimation. Parametric and nonparametric hypothesis testing. Analysis of variance. Regression, model building and model diagnostics. Monte Carlo simulation and bootstrap. Introduction to a statistical software package. 3 credit hours.
Prerequisite: CS 3341 or SE 3341 or STAT 3341 or equivalent.
Offering Frequency: Each semester
Grades: 2,238
Median GPA: A
Mean GPA: 3.602
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