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  • 學位論文

數據分析人員的關鍵能力及課程設計

Key Skills For Data Analysts

指導教授 : 陳小芬

摘要


隨著資訊科技蓬勃發展,數據已逐漸擠身為當前社會經濟發展的主要動 力。各種行業對數據分析專才的需求逐日增加,針對這類專才的培育和訓練, 特別是在高等教育機構的角色,更是重要。因此,本論文目的在於分析和解釋 現行的大學數據分析課程設計,並針對其在培育數據分析專才上的核心能力進 行深入探討。 在研究開始階段,本論文將回顧和探索數據分析的重要性,並深入了解業 界對數據分析專才的具體需求。接著,我們將深入研究大專院校如何透過精心 設計的課程培養學生的數據分析能力。在此過程中,我們將評估和分析各大學 開設的數據分析課程,以及這些課程如何影響學生數據分析技能的成長。此 外,我們也會探討數據分析能力與課程設計之間的連結,以找出透過課程設計 如何更有效地培養學生的數據分析能力。本研究將採用質性研究方法進行,包 括文獻回顧和案例研究。 依據這些研究結果,我們將提出一套改進的數據分析課程設計指南,期望 能提供大專院校在設計與開設更有效的數據分析課程方面的實際建議。本論文 的最終目標,則是在理論和實踐層面上,推動對數據分析教育的理解並進行改 善。

並列摘要


As the development of information technology thrives, data has gradually become the primary driving force for current socio-economic development. The demand for data analysis professionals in various industries is increasing daily, and the role of higher education institutions in the cultivation and training of such professionals is of paramount importance. Therefore, the purpose of this paper is to analyze and explain the current design of university data analysis courses and delve into their core competencies in cultivating data analysis professionals. At the outset of the research, this paper will review and explore the importance of data analysis and gain a deep understanding of the specific demands of the industry for data analysis professionals. Subsequently, we will investigate how tertiary institutions foster students' data analysis capabilities through carefully designed courses. In this process, we will assess and analyze data analysis courses offered by universities and how these courses impact the growth of students' data analysis skills. Moreover, we will examine the link between data analysis capabilities and course design, aiming to discover how to cultivate students' data analysis capabilities more effectively through course design. This research will adopt qualitative research methods, including literature review and case studies. Based on these research findings, we will propose a set of improved guidelines for data analysis course design, hoping to provide practical suggestions for tertiary institutions to design and offer more effective data analysis courses. The ultimate goal of this paper is to promote the understanding and improvement of data analysis education at both theoretical and practical levels.

參考文獻


Asamoah, D. A., Sharda, R., Hassan Zadeh, A., & Kalgotra, P. (2017). Preparing a data
scientist: A pedagogic experience in designing a big data analytics
course. Decision Sciences Journal of Innovative Education, 15(2), 161-190.
Bargiela, A., & Pedrycz, W. (2022). Granular computing. In HANDBOOK ON
COMPUTER LEARNING AND INTELLIGENCE: Volume 2: Deep Learning,

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