Современный мировой ландшафт онлайн-обучения наукам о данных

Высшее образование в России. 2022. Т. 31. № 4. С. 129–147.

Лукашенко М. А., Никольский В. С., Sharova E.

Data science as an emerging branch of applied knowledge and a new field of study
is showing a strong momentum. Besides, the corresponding sphere of educational research is
actively developing. At the same time, most of the scientific publications are aimed at studying
specific issues related to the content of the programs and their methodological support. The
wider context and especially the international perspective are lacking for the necessary atten-
tion of researchers.
In this regard, the purpose of our study was to summarize and systematize information about
training programs in the field of data science presented on online platforms of the main macro-re-
gions – America, Europe and Asia. For this purpose, we found out what elements the corpus of data
science training programs consists of, as well as how courses are distributed on educational plat-
forms by countries, organizational providers, level of education and duration of study. Based on the
data obtained, we conducted a comparative interregional study of educational programs presented
on online platforms.
The findings made it possible to draw conclusions about the specifics of the global landscape of
data science online education, as well as to determine the specifics of the Russian segment and to
formulate recommendations for solving significant problems of the domestic economy using data
science online education.

Keywords: обучение, learning, большие данные, big data, науки о данных, massive open online courses (MOOCs), онлайн-платформы, data science, Массовые образовательные онлайн курсы (МООК), online platforms