Research on Enhancing Innovative Practical Competencies of Big Data Major Students

本研究旨在基于熵权法找到大数据专业学生创新实践能力提升的方向。首先构建了大数据专业学生创新实践能力评价指标体系，然后运用熵权法对大数据专业学生在基础性学习后和综合性学习后两阶段的创新实践能力进行评价及对比。最后根据分析结果提出相应的提升策略。希望本研究能够为大数据专业人才培养提供新的思路和方法。This study aims to identify directions for enhancing the innovative practical abilities of big data majors using the entropy weight method. First, an evaluation indicator system for the innovative practical abilities of big data students was constructed. Then, the entropy weight method was applied to evaluate and compare the innovative practical abilities of these students at two stages: after foundational learning and after comprehensive learning. Finally, corresponding enhancement strategies were proposed based on the analytical results. This study is expected to provide new perspectives and methodologies for talent cultivation in the field of big data.