This course introduces students to data analytics techniques for understanding and addressing environmental and sustainability challenges. Students will learn to work with large and complex environmental datasets, including climate, air quality, water, and ecological data, using statistical and computational tools. The course covers data cleaning, exploratory analysis, visualization, and basic modeling, with an emphasis on translating data into actionable insights for research, policy, and decision-making. Through hands-on exercises and applied case studies, students will develop practical skills in environmental data analysis relevant to climate policy.