We are experiencing a revolution in earth and environmental data. Satellites, genetic sequencing, long-term in situ sensors, model results and reanalyses, digitized collections, social media, and citizen science are producing massive datasets, requiring students in earth and environmental sciences to learn scientific computing skills to use them. However, many educational institutions are not meeting this need -- most students in these degree programs report only learning these essential skills informally from peers and mentors if they learn them at all. In this session, we invite researchers and educators with innovative solutions to this gap in earth and environmental science education to share their successful programs, courses, and interventions. We are particularly interested in highlighting initiatives with a proven track record of targeting and including intersectional identities traditionally under-represented among earth, environmental and/or computer scientists.