Lasser, J., Manik, D., Silbersdorff, A., Säfken, B., & Kneib, T. (2021). Introductory data science across disciplines, using Python, case studies, and industry consulting projects. Teaching Statistics, 43(1), S190-10. https://doi.org/10.1111/test.12243
ISO-690 (author-date, English)LASSER, Jana, MANIK, Debsankha, SILBERSDORFF, Alexander, SÄFKEN, Benjamin und KNEIB, Thomas, 2021. Introductory data science across disciplines, using Python, case studies, and industry consulting projects. Teaching Statistics. 1 Juli 2021. Vol. 43, no. 1, p. S190-10. DOI 10.1111/test.12243.
Modern Language Association 9th editionLasser, J., D. Manik, A. Silbersdorff, B. Säfken, und T. Kneib. „Introductory Data Science across Disciplines, Using Python, Case Studies, and Industry Consulting Projects.“. Teaching Statistics, Bd. 43, Nr. 1, Juli 2021, S. S190-10, https://doi.org/10.1111/test.12243.
Mohr Siebeck - Recht (Deutsch - Österreich)Lasser, Jana/Manik, Debsankha/Silbersdorff, Alexander/Säfken, Benjamin/Kneib, Thomas: Introductory data science across disciplines, using Python, case studies, and industry consulting projects., Teaching Statistics 2021, S190-10.
Emerald - HarvardLasser, J., Manik, D., Silbersdorff, A., Säfken, B. und Kneib, T. (2021), „Introductory data science across disciplines, using Python, case studies, and industry consulting projects.“, Teaching Statistics, Vol. 43 No. 1, S. S190-10.