TEACHING LINEAR REGRESSION WITH PYTHON AND EXCEL: METHODS, TOOLS, AND PRACTICAL TASKS
This article analyses various approaches to teaching linear regression using Python and Excel. The inductive and deductive methods, as well as problem-based learning, are examined. Examples of using the scikit-learn library or Excel functionalities for building linear regression models are described. Practical tasks are presented to support the understanding of regression analysis concepts.
Authors
- Firgan Feradov
- Ginka Marinova (ORCID: https://orcid.org/0000-0003-0943-5804)
- Neli Kalcheva (ORCID: https://orcid.org/0000-0002-9277-2803)
- Maya Todorova (ORCID: https://orcid.org/0000-0002-0266-9723)
Institutions
- Technical University of Varna (BG)
Publication Details
- Journal
- Environment Technology Resources Proceedings of the International Scientific and Practical Conference
- Published
- 2025-06-08
- DOI
- https://doi.org/10.17770/etr2025vol3.8556
- Primary Topic
- Statistics Education and Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Technical University Varna