AbstractThe environmental studies laboratory is an exciting place where students investigate, analyze, and reflect. Students test and apply theories and make abstract concepts concrete. As an example, ecology and environmental science are increasingly using “big data” to expand and refine research questions. This commentary reflects on the design and integration of an environmental justice and data analytics module in an environmental studies lab course. The module introduces an environmental justice framework to give students an understanding of tools and strategies to engage, assess, and intervene at multiple levels; while also developing advocacy and communication skills. Poor and minority populations have historically borne the brunt of environmental inequalities in the United States, suffering disproportionally from the effects of pollution, resource depletion, dangerous jobs, limited access to common resources, and exposure to environmental hazards. Paying particular attention to “redlining” and the ways that race, ethnicity, class, and gender have shaped the political and economic dimensions of environmental injustices, this module challenges students to critically examine redlining, socioeconomic, and environmental factors in Atlanta, Georgia (USA) to develop and explore research questions that may visually and/or statistically illuminate trends, patterns, and processes of environmenATL justice. This module also introduces some of the basic data handling and data analysis skills that give students an understanding of data types, descriptive statistics, sampling, and basic inferential statistics. By intentionally incorporating environmental justice activities and conversations in the classroom, instructors afford students an opportunity to engage in authentic examination of their world and make positive changes. Many of the skills learned and knowledge gained in this activity are directly transferable to post‐baccalaureate studies (e.g., graduate school, medical school, professional training, etc.) and the world of employment. The module can also be adapted to various curriculum, courses, and communities.