This course is a CrashProgram (short course) in the use of Python and the package TransitionMatrix for analysing credit migration data.
The course is at a medium technical level. It requires some familiarity with python (and a working installation that includes the common numpy/scipy libraries). On the risk modelling side it requires knowledge of basic credit rating migration concepts.
Step by step we build the knowledge required to use python to analyse credit migration data:
- We learn to work with basic transition matrix data objects
- We explore the estimation of matrices using the cohort method
- We look into visualization of data sets
- The working examples are based on both synthetic data and the published LendingClub dataset
Course Level and Type:
|Introductory Level||Core Level||Advanced Level|
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