Classroom Action Research (CAR) is a research type conducted within the classroom environment to enhance the learning process. Nevertheless, many school teachers encounter obstacles primarily due to insufficient knowledge about research methodology and statistical analysis, which support CAR. To maximize data potential in education, SMA Negeri 1 Krembung recognizes the importance of enhancing teachers' statistical and data science-based analysis skills. To achieve this, the Department of Statistics at Universitas Brawijaya collaborates in organizing community service through training to empower the educational community at SMA Negeri 1 Krembung. To assess the community service program's effectiveness, pre-test and post-test analyses were carried out using the t-test. By applying the Wilcoxon Signed Rank Test hypothesis, a significant difference was identified in statistical and data science-based analysis skills before and after the community service program implementation. The ability to analyze based on statistics and data science has improved, evident from the post-test mean rank value surpassing the pre-test mean rank value (11.08 > 6.33). Consequently, it can be concluded that repeating training activities is essential to enhance statistical and data science-based analysis skills in the big data era and to provide a deeper understanding of Classroom Action Research.