Keyword: «data clustering»

The paper presents the features of the professional training of a future computer science teacher for the use of artificial intelligence technologies to form a roadmap for an modular academic discipline based on cluster data analysis. Learning dataset include information about the choice of specific learning tasks by abstract students, about assessments of the formation of their profile skills and interest in studying the discipline. Data clustering is performed using the k-means method. The software implementation is based on the use of the machine learning and data analysis Python libraries: Scikit-learn and Pandas. The result of the training is the readiness of future teachers to use cluster analysis of data in their future professional activities to develop pedagogical recommendations for students on the choice of an individual educational route.