Abstract
Many of the world’s biggest discoveries and decisions in science, technology, business, medicine, politics, and society as a whole, are now being made on the basis of analyzing massive datasets. In this paper, exploratory teaching program is proposed. It provides a broad and practical introduction to big data analysis. This exploratory teaching program was designed and given in Department of Computer Engineering at Kocaeli University in the spring semester of 2018–2019. To assess the educational program’s impact on the learning process and to evaluate the acceptance and satisfaction level of students, they answered a questionnaire after finishing the program. According to students’ feedback, the exploratory teaching program is useful for learning how to analyze large datasets and identify patterns that will improve any company’s and organization decision-making process.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Ambient Intelligence and Humanized Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
