Quantitative data analysis is a systematic process of examining, interpreting, and drawing meaningful conclusions from numerical data. It involves the application of statistical methods, mathematical models, and computational techniques to understand patterns, relationships, and trends within datasets. Quantitative data analysis in English as a Foreign Language (EFL) involves the systematic examination of numerical data gathered from various sources, such as tests, surveys, and assessments, to identify patterns, correlations, and trends related to language learning. This approach allows educators and researchers to evaluate the effectiveness of teaching methods, understand learners' progress, and make data-driven decisions to improve instructional strategies, ultimately enhancing the overall language acquisition process.