As a continuation of BR2211, this course aims to introduce advanced data analytics models in the context of finance and risk management. It discusses how these models work, how and when they can be used, and how they should be interpreted, exemplified with real-world applications, such as predicting insurance losses, assessing credit quality, etc. At the end of the course, you will be able to apply various data analytics techniques to solve practical problems in finance and risk management. The course uses the open-source software R.
Academic Units | 3 |
Exam Schedule | Not Applicable |
Grade Type | Letter Graded |
Department Maintaining | BUS |
Prerequisites |
Index | Type | Group | Day | Time | Venue | Remark |
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0930
1030
1130
1230
1330
1430
1530
1630
1730
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