"岗课赛证"融通的Python民航数据分析课程开发与实践OA

To meet the demand for compound technical and skill-based talent in smart civil aviation development,this research adopts literature review,job-task analysis,and action research to investigate the design logic and first-round implementation of the Python for Civil Aviation Data Analysis course.Focusing on four typical scenarios—precision marketing,airport intelligent coordination,terminal passenger-flow forecasting,and end-to-end baggage tracking—the study constructs a course framework of"job-task identification-module restructuring-competition competence integration-vocational certificate mapping",supported by project-based instruction,progressive training,and a multi-dimensional assessment mechanism.Formative data from the first-round practice indicate that this framework helps enhance students'understanding of the relationship between civil aviation business scenarios and data-processing tasks;however,quantitative evidence of learning outcomes still needs further accumulation in subsequent teaching.This course development approach provides a reference for implementing post-course-competition-certificate integration in civil aviation higher vocational courses.