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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">voprstat</journal-id><journal-title-group><journal-title xml:lang="ru">Вопросы статистики</journal-title><trans-title-group xml:lang="en"><trans-title>Voprosy Statistiki</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2313-6383</issn><issn pub-type="epub">2658-5499</issn><publisher><publisher-name>The Federal State Budgetary Institution "Scientific Research Institute for Socio-Economic Statistics of the Federal State Statistics Service" (Statistics Research Institute of Rosstat)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.34023/2313-6383-2024-31-1-104-112</article-id><article-id custom-type="elpub" pub-id-type="custom">voprstat-1690</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>НАУКА И ОБРАЗОВАНИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SCIENCE AND EDUCATION</subject></subj-group></article-categories><title-group><article-title>Подходы к трансформации системы обучения в области статистики в контексте непрерывного образования и Индустрии 4.0 (на примере Республики Узбекистан)</article-title><trans-title-group xml:lang="en"><trans-title>Approaches to the Transformation of the Statistical Education System in the Context of Lifelong Learning and Industry 4.0 (Оn the Example of the Republic of Uzbekistan)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0666-4022</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Камалетдинов</surname><given-names>У. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Kamaletdinov</surname><given-names>U. М.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Камалетдинов Улугбек Музаффарович – старший преподаватель кафедры «Статистика»</p><p>100066, Республика Узбекистан, г. Ташкент, ул. Ислама Каримова,д. 49</p></bio><bio xml:lang="en"><p>Ulugbek M. Kamaletdinov – Senior Lecturer, Department of Statistics</p><p>49, Islam Karimov Str., Tashkent, 100066,</p></bio><email xlink:type="simple">ulugbek.kamaletdinov@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Ташкентский государственный экономический университет</institution><country>Узбекистан</country></aff><aff xml:lang="en"><institution>Tashkent State University of Economics (TSUE)</institution><country>Uzbekistan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>22</day><month>02</month><year>2024</year></pub-date><volume>31</volume><issue>1</issue><fpage>104</fpage><lpage>112</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Камалетдинов У.М., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Камалетдинов У.М.</copyright-holder><copyright-holder xml:lang="en">Kamaletdinov U.М.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://voprstat.elpub.ru/jour/article/view/1690">https://voprstat.elpub.ru/jour/article/view/1690</self-uri><abstract><p>Статья посвящена проблемам трансформации образовательной системы в контексте непрерывного образования и Индустрии 4.0 применительно к процессам принятия государственных решений по развитию инвестиционной экосистемы Республики Узбекистан.</p><p>Дана характеристика информационно-статистических ресурсов, используемых в системе государственного управления в современных условиях на основе анализа, показаны направления трансформации системы статистического обучения и переподготовки кадров статистиков.</p><p> Особо отмечены вопросы внедрения в программы обучения цифровых компетенций в области статистики и необходимость формирования современных знаний и навыков, связанных с внедрением цифровых технологий.</p><p>Автор подчеркивает актуальность адаптации образовательной системы в области статистики к изменяющимся требованиям современного мира и делает вывод, что развитие профессиональных компетенций статистиков должно быть непрерывным, начиная со среднего образования, переходящим в переподготовку и повышение квалификации в течение всей карьеры специалистов.</p><p>Рекомендации авторского исследования могут быть использованы органами власти и другими заинтересованными организациями для совершенствования образовательной системы в области статистики.</p></abstract><trans-abstract xml:lang="en"><p>The article is devoted to the problems of transformation of the educational system in the context of lifelong learning and Industry 4.0 in government decision-making for the development of the investment ecosystem of the Republic of Uzbekistan.</p><p>The article outlines characteristics of information and statistical resources used in the public administration system in modern conditions on the basis of analysis, and presents directions of transformation of the system of statistical training and retraining of statisticians.</p><p>The issues of introducing digital competencies in the field of statistics into training programs and the need to develop modern knowledge and skills related to the introduction of digital technologies were highlighted.</p><p>The author emphasizes the relevance of adapting the educational system in the field of statistics to the evolving requirements of the modern world and concludes that the development of professional competencies of statisticians should be continuous and start with secondary education, followed by retraining, and advanced training received throughout their professional careers.</p><p>The recommendations presented in the author’s studycan be used by the authorities and other interested organizations to improve the educational system in the field of statistics.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>непрерывное статистическое образование</kwd><kwd>«доказательный подход»</kwd><kwd>Индустрия 4.0</kwd><kwd>официальная статистика</kwd><kwd>административные данные</kwd><kwd>геопространственные данные</kwd><kwd>большие данные</kwd><kwd>Интернет вещей</kwd><kwd>инвестиционная привлекательность</kwd><kwd>инвестиционная экосистема</kwd></kwd-group><kwd-group xml:lang="en"><kwd>continuous statistical education</kwd><kwd>evidence-based approach</kwd><kwd>Industry 4.0</kwd><kwd>official statistics</kwd><kwd>administrative data</kwd><kwd>geospatial 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