Analysis of Education Model Based on Student Big Data Portrait

This article mainly studies student profiling behavior in marketing education in universities. Portraiting marketing students can help solve the problem of identifying and judging their marketing professional abilities. The process of constructing a student portrait system in marketing education mainly includes four steps: data collection and processing, label extraction, forming a label system, and portrait formation. After the marketing ability of students is specifically represented through portraits, we can provide personalized and accurate marketing education resources, teaching methods, and evaluation systems based on the label characteristics and needs of different students.