Methodological approaches to teaching disciplines on data visualization and BI systems
Abstract. In the context of the digital transformation of modern society, data visualization and the use of Business Intelligence (BI) systems are becoming integral part of the professional training of specialists in various directions. The article is devoted to the analysis of methodological approaches to teaching disciplines related to BI and data visualization in the educational process of the Almaty branch of the St. Petersburg University of the Humanities and Social Sciences. The work examines the theoretical foundations for incorporating BI disciplines into curricula, highlighting key tools and software solutions (such as Power BI, Tableau, and Qlik Sense) used in university practice. Particular attention is paid to methodological strategies, including project-based, problem-based, blended, and collaborative learning, as well as gamification, which serves as a means of increasing student motivation. The features of the practical implementation of the course are described, including working with open socio-economic data from Kazakhstan, implementing group projects, and developing dashboards that model real business and social tasks. The main problems associated with teaching disciplines of this type are identified: limited access to licensed software, varying levels of student training, difficulties in assessing results, and a shortage of localized data sets. A conclusion is made about the high potential for implementing BI disciplines into the educational process of the university. Their importance in the development of analytical thinking, digital competencies, and universal skills demanded in the context of Kazakhstan’s digital economy and humanitarian sphere is emphasized.