title: ÐÐ¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð¸Ð½Ð°Ð¼Ð¸ÐºÐ¸ ÑÐ¿ÑÐ¾ÑÐ° Ð½Ð° Ð¿ÑÐ¾ÑÐµÑÑÐ¸Ð¾Ð½Ð°Ð»ÑÐ½ÑÐµ ÐºÐ¾Ð¼Ð¿ÐµÑÐµÐ½ÑÐ¸Ð¸ Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ ÑÑÐ°Ð½ÑÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Modeling and analysis of the dynamics of demand for professional competencies in the context of digital transformation
Creators: name: ÐÐ¾ÑÑÐ¾Ð¼Ð°ÑÐ¾Ð²Ð°, Ð¡Ð²ÐµÑÐ»Ð°Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÑÐ½Ð¾Ðº ÑÑÑÐ´Ð°
ÐºÐ»Ð°ÑÑÐµÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð°Ð½Ð°Ð»Ð¸Ð· ÐºÐ»ÑÑÐµÐ²ÑÑ Ð½Ð°Ð²ÑÐºÐ¾Ð²
Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¿ÑÐ¾ÑÐ°
ÑÐ¸ÑÑÐ¾Ð²ÑÐµ ÐºÐ¾Ð¼Ð¿ÐµÑÐµÐ½ÑÐ¸Ð¸
labor market
cluster analysis
skill analysis
demand modeling
digital competencies

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description: The purpose of this work is to model the change in demand for professional competencies in the IT sector. The research set the following goals: - explore key historical concepts and current research topics in labor economics; - determine the most suitable method for identifying demand for key skills from job vacancies; - study and describe the selected methods of text vectorization, visualization, clustering, and evaluation of results; - select the most effective clustering method based on data for 2023; - apply the chosen clustering method to analyze key skills from job vacancies for 2018; - compare clustering results for 2018 and 2023 to identify changes in specializations and skill requirements. The relevance of this study lies in the context of global economic digitization, which not only transforms production processes but also reshapes the labor market structure. The advancement of information technologies significantly increases demand for qualified specialists in IT. These changes constantly create new professional requirements and specializations reflected in current job vacancies, allowing for tracking changes in labor market dynamics. Information sources included domestic and international scientific literature, official websites, and online databases. A comprehensive approach is proposed to determine how the demand for key skills in the field of information technology is changing. The following software tools were used for data analysis and processing in this study: - Microsoft Excel was used for preliminary data processing, including filtering and sorting data from various sources before further analysis. - Jupyter Notebook was chosen for implementing clustering algorithms and visualizing results. It provides a convenient environment for writing and debugging Python code, integrating text descriptions and graphical results in one document, facilitating analysis and reproducibility of research findings. - Python was selected as the main programming language for implementing clustering algorithms, including data reading, clustering execution, quality metrics computation, and result visualization.