Title: Applications of Exploratory Data Analysis (EDA) Technique in Medical Education
Author: Dr Goutam Saha
DOI: https://dx.doi.org/10.18535/jmscr/v9i12.42
Abstract
This abstract discusses the applications of Exploratory Data Analysis (EDA) techniques in the realm of medical education. EDA is applied to medical educational data to unveil patterns, trends, and insights. By employing visualizations and statistical methods, EDA enhances the understanding of complex educational data, aiding educators in making informed decisions. This paper examines real-world cases where EDA has been employed, showcasing its effectiveness in improving curriculum design, student performance analysis, and resource allocation. The findings underscore EDA's pivotal role in optimizing medical education, fostering data-driven enhancements that ultimately contribute to the overall quality of healthcare professionals' training.
Keywords: Exploratory Data Analysis (EDA), medical education, data analysis, data visualization, curriculum design, student performance analysis, resource allocation, healthcare training, data-driven insights.
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