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BUAN 4322 (Overall) | |||||
BUAN 4322 Amit Mehra | |||||
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| Name | Grades | Rating | |||
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BUAN 4322 (Overall) | |||||
BUAN 4322 Amit Mehra | |||||
Causal Analysis and A/B Testing
Naveen Jindal School of Management
Principles and practices of causal analysis and A/B testing for data-driven business decisions. Covers foundational statistical concepts for designing experiments, interpreting results, and evaluating causal relationships using a causal inference framework. Includes methods such as backdoor adjustment and do-calculus at an introductory level. Emphasizes A/B testing in product development and user experience. Features hands-on use of Python for causal analysis and experiment design. Focuses on evaluating causal claims and applying modern tools to guide strategic business decisions. 3 credit hours.
Prerequisite: BUAN 4373 and (BUAN 4381 or ITSS 4381).
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
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Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.
Causal Analysis and A/B Testing
Naveen Jindal School of Management
Principles and practices of causal analysis and A/B testing for data-driven business decisions. Covers foundational statistical concepts for designing experiments, interpreting results, and evaluating causal relationships using a causal inference framework. Includes methods such as backdoor adjustment and do-calculus at an introductory level. Emphasizes A/B testing in product development and user experience. Features hands-on use of Python for causal analysis and experiment design. Focuses on evaluating causal claims and applying modern tools to guide strategic business decisions. 3 credit hours.
Prerequisite: BUAN 4373 and (BUAN 4381 or ITSS 4381).
Offering Frequency: Each year
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Grades: 0
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Causal Analysis and A/B Testing
Naveen Jindal School of Management
Principles and practices of causal analysis and A/B testing for data-driven business decisions. Covers foundational statistical concepts for designing experiments, interpreting results, and evaluating causal relationships using a causal inference framework. Includes methods such as backdoor adjustment and do-calculus at an introductory level. Emphasizes A/B testing in product development and user experience. Features hands-on use of Python for causal analysis and experiment design. Focuses on evaluating causal claims and applying modern tools to guide strategic business decisions. 3 credit hours.
Prerequisite: BUAN 4373 and (BUAN 4381 or ITSS 4381).
Offering Frequency: Each year
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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| Name | Grades | Rating | |||
|---|---|---|---|---|---|
BUAN 4322 (Overall) | |||||
BUAN 4322 Amit Mehra | |||||
