A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING PODWORNY, SUSANNE Hüsing, Sven SCHULTE, CARSTEN Education Statistics and Probability Aspects of data science surround us in many contexts, for example regarding climate change, air pollution, and other environmental issues. To open the “data-science-black-box” for lower secondary school students we developed a data science project focussing on the analysis of self-collected environmental data. We embed this project in computer science education, which enables us to use a new knowledge-based programming approach for the data analysis within Jupyter Notebooks and the programming language Python. In this paper, we evaluate the second cycle of this project which took place in a ninth-grade computer science class. In particular, we present how the students coped with the professional tool of Jupyter Notebooks for doing statistical investigations and which insights they gained. International Association for Statistical Education 2022 info:eu-repo/semantics/article doc-type:article text http://purl.org/coar/resource_type/c_6501 https://ris.uni-paderborn.de/record/32335 PODWORNY S, Hüsing S, SCHULTE C. A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. <i>STATISTICS EDUCATION RESEARCH JOURNAL</i>. 2022;21(2). doi:<a href="https://doi.org/10.52041/serj.v21i2.46">10.52041/serj.v21i2.46</a> eng info:eu-repo/semantics/altIdentifier/doi/10.52041/serj.v21i2.46 info:eu-repo/semantics/altIdentifier/issn/1570-1824 info:eu-repo/semantics/closedAccess