At present, the innovative employment education mode has been popularized in colleges and universities, and China has also begun to vigorously develop innovative employment education. According to the investigation, there are some disadvantages in the process of innovative employment education, which greatly hinder the teaching effect of innovative employment education. Based on the big data-driven method, this paper takes the micro-course education mode in innovative employment education as an example and makes a systematic study. This paper mainly analyzes three main indexes involved in innovative employment education. In this paper, three typical big data-driven methods are introduced, and the corresponding prediction and evaluation index values are predicted and analyzed. The analysis and prediction results show that the prediction effect based on extreme learning machine is the best. In addition, the results of mathematical fitting show that the corresponding predicted values show a good power function relationship at the personal level and the social level.