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| Name | Grades | Rating | |||
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CYBR 4338 (Overall) | |||||
CYBR 4338 Steven Haynes | |||||
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| Name | Grades | Rating | |||
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CYBR 4338 (Overall) | |||||
CYBR 4338 Steven Haynes | |||||
Foundations of Risk Analytics and Applications
CYBR 4338 (Same as FIN 4338 and RMIS 4338)
Naveen Jindal School of Management
Enhanced data-driven decision making is an essential component of a successful organization's risk management and insurance program. This course provides a fundamental understanding of analytical techniques for big data. All business students will benefit from exploring the Internet of Things, data mining techniques, social network analysis, predictive modeling concepts, and the development of a data analytics strategy to help achieve superior business results. 3 credit hours.
Prerequisite or Corequisite: FIN 3320 or FIN 3370 or RMIS 3370.
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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Foundations of Risk Analytics and Applications
CYBR 4338 (Same as FIN 4338 and RMIS 4338)
Naveen Jindal School of Management
Enhanced data-driven decision making is an essential component of a successful organization's risk management and insurance program. This course provides a fundamental understanding of analytical techniques for big data. All business students will benefit from exploring the Internet of Things, data mining techniques, social network analysis, predictive modeling concepts, and the development of a data analytics strategy to help achieve superior business results. 3 credit hours.
Prerequisite or Corequisite: FIN 3320 or FIN 3370 or RMIS 3370.
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
Click a checkbox to add something to compare.