The aim of the project is to familiarize the student with the construction of fully automatic reporting processes using both data processing methods and statistical analysis.
computer science
Description
Main description of the project
The aim of the project is to familiarize the student with the construction of fully automatic reporting
processes using both data processing methods and statistical analysis. The project is based on the
basic methods of reporting and analyzing the portfolio of retail loans useful in credit risk
management. In this case, the analysis focus on the stage of input data verification, quality analysis
and the first identification of credit risk predictors.
Theoretical background
Nowadays, conducting data quality analysis is becoming an increasingly important element of any
analytical project. You can safely assume that you will not be able to collect good quality data, but
you need to be able to measure their quality and then know how it will affect the final results of the
analysis. The most common quality elements are
