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Statistical Methods for Data Science
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: 1,856
Median GPA: A
Mean GPA: 3.594
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Statistical Methods for Data Science
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: 1,856
Median GPA: A
Mean GPA: 3.594
Click a checkbox to add something to compare.
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 6313 (Overall) | |||||
A | |||||
CS 6313 Cuneyt Akcora | |||||
A | |||||
CS 6313 Eric Becker | |||||
A | |||||
CS 6313 Min Chen | |||||
A- | |||||
CS 6313 Xiwei Tang | |||||
A- | |||||
CS 6313 Yan Zhou | |||||
A | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 6313 (Overall) | |||||
A | |||||
CS 6313 Cuneyt Akcora | |||||
A | |||||
CS 6313 Eric Becker | |||||
A | |||||
CS 6313 Min Chen | |||||
A- | |||||
CS 6313 Xiwei Tang | |||||
A- | |||||
CS 6313 Yan Zhou | |||||
A | |||||