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- Volume 1, Issue 1 2023
By Kashan-ur-Rehman, Touseef Mehmood, Syeda Tamkeen Fawad
10.20547/aibd.231105
Keywords: Hybrid Teaching Scheme, Data Science Education, Programming Languages, Software Development, PHP, Python.
Data science plays an increasingly important part in modern society as a result of its quick rise to prominence across a number of industry sectors. The increased importance of this calls for a flexible and innovative approach to teaching. In order to accommodate the changing needs of data science education, this research article proposes a hybrid teaching scheme (a combination of flipped and conventional approach) that places a special focus on programming languages and tools. This study has performed a survey of 100 participants from diverse domains and inquired them about their preferred teaching methodology and the language of choice for teaching data science. Acknowledging the increasing accessibility of a wide array of resources and packages for studying and applying data science, our study seeks to provide educational designers, curriculum creators, and organizations with useful information. It has been found that most of the participants preferred hybrid scheme of teaching. The goal of the suggested hybrid teaching scheme is to improve and hone teaching processes by providing a sophisticated examination of approaches and programming languages specifically designed to meet the requirements of data science students.