Data Science for Beginners: Curriculum Design and Methodologies
In recent years, data science has emerged as a vital field that influences decision-making across various industries. As organizations increasingly rely on data-driven strategies, the demand for data science education has surged, necessitating the development of effective curricula for beginners. This research paper explores the design and methodologies for teaching data science to beginners, focusing on curriculum structure, essential topics, pedagogical approaches, and assessment strategies. Through a comprehensive literature review, this study highlights best practices and effective methodologies, such as project-based learning, collaborative learning, and the integration of ethical considerations. The findings indicate that a well-structured curriculum not only enhances technical skills but also fosters critical thinking and a deep understanding of data science principles. This paper concludes with recommendations for educators and institutions to create inclusi...