Exploratory Data Analysis And Predict Income Udemy Course Instructors Using Machine Learning Algorithm

Udemy Course as an online course platform that has been recognized by both students and teachers as a medium that facilitates the transfer and receiving of knowledge, while also providing income to the Instructors. This study aims to explore datasets in Udemy Course and predict the income of the Instructors in the Udemy course. Datasets are taken from Kaggle. The research procedure begins with the collection of datasets from Kaggle, followed by datasets pre-processing, then exploratory data analysis is carried out and predicted, the implementation of machine learning random forest techniques is carried out. The results of this study show a description of the Udemy Course datasets for 2010 - 2022, course distribution prices, customer distribution, course content length distribution, number of courses for each category, number of subscribers for each category, and date of publication. In addition, this study shows that the percentage score n_estimator of machine learning random forest techniques in predicting the income of Udemy course instructors is 94%.