This article explores the integration of Python into educational environments as a tool for teaching students how to process data from multiple Excel files. With the growing importance of data literacy in a data-driven world, the study demonstrates how Python, with its powerful libraries such as Pandas and NumPy, can improve students’ ability to extract, clean, and analyze complex data sets. The authors propose a structured methodology that educators can replicate to effectively teach data science skills. Using real-world statistical reporting data, the study illustrates the practical application of Python in an educational context. The results highlight the advantages of Python over traditional methods such as Excel and underscore the importance of equipping students with data analysis skills to meet future challenges.