Enhancing Online Education Efficacy: A Multifaceted Analysis and Recommendation System for Online Courses

In today’s tech-driven world, education has undergone significant changes in schools and colleges worldwide. One of the latest trends in the education sector is online learning. This approach allows students to study over the internet, offering them flexibility and convenience. Online learning has proven to be effective in enhancing students’ performance and skills. However, selecting the right online courses can be a challenge for aspiring students. They need to consider various factors to ensure their chosen courses align with their goals. To address this challenge, we propose using data from popular online course platforms like Coursera and Udemy. By analyzing the course statistics available on these platforms, we aim to develop a recommendation system. This system will help students make informed choices by suggesting courses that match their interests and needs. Our study aims to gather and present course data from Coursera and Udemy and build a Course Recommendation algorithm to provide clear guidance for course selection. This will ultimately lead to an improved learning experience for students in the online education landscape.