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OPRE 4373 (Overall) | |||||
OPRE 4373 Rasoul Ramezani | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
OPRE 4373 (Overall) | |||||
OPRE 4373 Rasoul Ramezani | |||||
Data Science for Business Applications
OPRE 4373 (Same as BUAN 4373)
Naveen Jindal School of Management
This course builds on the foundations of Probability and Statistics from OPRE 3360. It further develops knowledge and skills for applying statistical and management science models to business decision-making. Topics include hypothesis testing for several populations, intermediate multiple linear regression, variable transformation, model selection procedures, chi-square tests and contingency tables, design of experiments and Analysis of Variance (ANOVA), logistic regression, and non-parametric methods. The course uses statistical software. 3 credit hours.
Prerequisite: OPRE 3360.
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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Data Science for Business Applications
OPRE 4373 (Same as BUAN 4373)
Naveen Jindal School of Management
This course builds on the foundations of Probability and Statistics from OPRE 3360. It further develops knowledge and skills for applying statistical and management science models to business decision-making. Topics include hypothesis testing for several populations, intermediate multiple linear regression, variable transformation, model selection procedures, chi-square tests and contingency tables, design of experiments and Analysis of Variance (ANOVA), logistic regression, and non-parametric methods. The course uses statistical software. 3 credit hours.
Prerequisite: OPRE 3360.
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
Click a checkbox to add something to compare.