The Journal of Statistics and Data Science Education focuses on pedagogical approaches and learning experiences in statistics and data science. It explores the development of data literacy, statistical thinking, and computational skills across various educational levels, from middle school to undergraduate and graduate programs. The journal also addresses challenges such as statistics anxiety, the integration of new technologies like AI and machine olfaction, and the importance of foundational skills like collaboration and critical evaluation in data science education.
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Publication & Citation Trend
Articles published
Times cited
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
EducationQ1
Management Science and Operations ResearchQ2
Statistics and ProbabilityQ2
Subject Classification
Web of Science Categories
Education, Scientific Disciplines
Scopus Categories
Management Science and Operations ResearchStatistics and ProbabilityEducation
Research Topics (OpenAlex)
Statistics Education and MethodologiesData Analysis with RInnovations in Educational MethodsGenetics, Bioinformatics, and Biomedical ResearchScientific Computing and Data ManagementOnline Learning and AnalyticsResearch Data Management PracticesOnline and Blended LearningBig Data and Business IntelligenceEducational Assessment and Pedagogy