Research on the Application of Data Literacy in the Teaching Reform of Corporate Strategic Management Curriculum from the Perspective of Data Governance

企业战略管理课程亟需调整教学内容，以满足现代企业对具备高数据素养的管理人才的需求。本研究基于数据治理视角，探讨如何在企业战略管理课程中融入Python等数据分析工具，推动教学改革，增强学生的数据理解、分析和决策能力。数据治理框架不仅能确保数据管理的合规性和安全性，还可帮助学生理解数据安全、隐私保护及数据质量管理的原则。本文将评估Python在数据收集、分析和建模中的应用效果，探索其在培养学生数据素养中的促进作用。通过教学改革，学生将提升数据驱动的战略管理实践能力，增强就业市场中的竞争力。研究成果旨在为企业战略管理课程的数字化转型提供理论支持，并为教育界和企业界在数据素养培养和教学改革方面提供实践参考。The curriculum of corporate strategic management urgently requires adjustments to meet the modern demands of enterprises for management talents with high data literacy. This study, grounded in the perspective of data governance, explores how to integrate data analysis tools such as Python into corporate strategic management courses to promote pedagogical reform and enhance students’ data comprehension, analytical skills, and decision-making capabilities. The data governance framework not only ensures the compliance and security of data management but also aids students in understanding the principles of data security, privacy protection, and data quality management. This paper will assess the effectiveness of Python in data collection, analysis, and modeling, and investigate its role in fostering students’ data literacy. Through educational reform, students will improve their data-driven strategic management practice skills, thereby enhancing their competitiveness in the job market. The findings aim to provide theoretical support for the digital transformation of corporate strategic management courses and offer practical references for both the education and business sectors in cultivating data literacy and implementing pedagogical reforms.