Messy Data in Education: Enhancing Data Science Literacy Through Real-World Datasets in a Master’s Program

The increasing importance of data science in today’s world highlights the need to prepare students for the complexities of real-world data. This paper presents insights and findings from 15 years of teaching Data Mining and Business Intelligence in a Computer Science Master’s program, where a key co...

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Auteur principal:	Iraklis Varlamis
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-04-01
Collection:	Education Sciences
Sujets:	data wrangling real-world datasets data science education data preprocessing problem-solving skills
Accès en ligne:	https://www.mdpi.com/2227-7102/15/4/500
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