Course Recommendation, Exploratory Data Analysis And Visualizations of Massive Open Online Courses (MOOCS)

Users and learners nowadays are seeking their education on online platforms such as Open edX, Udemy, Udacity, Coursera. However, faced with cumbersome tasks various challenges to search for the required courses matching individual goals, knowledge, interest. With huge amount of data material available over internet MOOCs, users often face difficulty making right decision choose course that perfectly defines interest fulfills learning requirements. Hence, lack targeted recommendations MOOCs can drive irrelevant MOOCs. Recommender System (RS) plays a crucial role in assisting find appropriate improve learners’ engagements satisfaction/completion rates satisfy Basically, aim is visualize student's areas interest, which should not differ from recommendation overall structure course.