The article is devoted to an important today’s issue - the analysis of a student’s digital footprint. The authors present their experience in research of a large amount of data collected within the Moodle learning platform during their hybrid course of continuing vocational education. The difficulties encountered in processing such data are considered, and a tool for overcoming them is proposed - the SAP Predictive Analytics Desktop software, available to universities for free within the framework of the SAP University Alliance global academic initiative. The result of using this tool to build models in order to find answers to such questions as the probability of successful completion of the course by a student, the influence of various factors on the level of motivation during training, the search for criteria for selecting students for the course, etc. is shown. The mechanism of clustering of trainees using SAP Predictive Analytics is also considered, which can be used to select leaders in educational process with the purpose of their further promotion (admission to internships, participation in projects, etc.). The article may be useful for university lecturers developing and conducting hybrid and online courses, as well as for any researchers interested in the analysis of the educational process. © 2022, Springer Nature Switzerland AG.
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