MetaData

Abstract

In the Indian Universities, data science courses are offered to computer science undergraduates only in their higher semesters of under-graduation. Keeping in mind, the growing importance of data science, under-graduates need to be introduced to data science courses in their first year of under-graduation itself. Although first year undergraduates are furnished with the required mathematical and statistical concepts during their higher secondary education, a requirement of understanding sophisticated programming concepts hamstrings universities from offering courses in data science to first year undergraduates. As an outcome of our research, we propose a software named MetaData. MetaData abstracts all levels of implementation and helps students better understand the fundamental concepts in data science by observing the applicability of these concepts on real-world datasets. We justify the effectiveness of the tool through a data science classroom scenario, wherein 44 first year undergraduates were encouraged to use the tool and provide constructive feedback.