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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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There is no overlap for the selected courses, professors, and filters.
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Grades:
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Mean GPA:
5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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Grades: 349
Median GPA: A-
Mean GPA: 3.274
3.8
Professor rating
2.9
Difficulty
24
Ratings given
45%
Would take again
Statistical Methods for Data Science
School of Natural Sciences and Mathematics
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
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Grades: 349
Median GPA: A-
Mean GPA: 3.274
3.8
Professor rating
2.9
Difficulty
24
Ratings given
45%
Would take again
Statistical Methods for Data Science
School of Natural Sciences and Mathematics
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
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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