MGMTFT 402
Data and Decisions
Description: Lecture, three hours. Topics include probabilities, random variables (expectation, variance, covariance, normal random variables), decision trees, estimation, hypothesis testing, and multiple regression models. Emphasis on actual business problems and data. Letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Fall 2025 - This was just a class on coding, there was not much learning going on but rather just translating data sets in R. I would recommend office hours as he is nice and does his best to explain but still some really confusing topics and I think really complicated things. All projects were group based so do not miss. It is a core class.
Fall 2025 - This was just a class on coding, there was not much learning going on but rather just translating data sets in R. I would recommend office hours as he is nice and does his best to explain but still some really confusing topics and I think really complicated things. All projects were group based so do not miss. It is a core class.
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