Existing research suggests a majority of faculty include social justice content in research courses but not through the use of existing quantitative data for in-class activities that foster mastery of data analysis and interpretation and curiosity about social justice-related topics. By modeling data-driven dialogue and the deconstruction of quantitative meaning making related to social justice in and around social work practice topics, we can prepare our students to be agents of change in their social work careers and possibly engage our students in an often difficult course. Specifically, I provide examples for how discussions about socioeconomic justice can be infused in teaching about univariate, bivariate, and multivariate statistical analyses from the perspectives of critical consumption and the production of research.