The big data era of “data-driven schools, analysis, and change education” has arrived, and the technology of data mining was born in the education industry. Based on data mining technology, this study explores English listening prediction strategies and training approaches. Prediction is an effective learning strategy in listening comprehension. Cultivating students to use predictive strategies is helpful to improve their listening comprehension, mining and analyzing the listening data generated by English skill training system, selecting the data related to students’ listening as features, aiming at students’ test listening scores, carrying out model training, and realizing the prediction of students’ listening. After evaluation and analysis, it is found that data mining technology can be used to predict students’ listening more accurately.