This paper studies the key technologies of the development of intelligent data analysis system for online education. R language is used for data mining development. This study uses the ARIMA time series model algorithm to model and evaluate the number of online learners. K-means clustering algorithm is used to analyze the learning attitude of online learners. Regression analysis algorithm was used to analyze the relevance of courses. The intelligent online education platform developed in this research can be used by educational institutions for online teaching

and can conduct intelligent data analysis on teachers’ teaching behavior

students’ learning behavior

course establishment and other issues

so as to facilitate schools to strengthen their teaching management and teaching quality monitoring.