Environmental Data Science

Environmental Data Science involves collecting and analyzing large amounts of data related to the environment—such as climate patterns, pollution levels, and natural resources—to better understand ecological systems. Using advanced techniques like statistical analysis, machine learning, and data modeling, it helps identify trends, predict future changes, and inform sustainable decision-making. This field supports efforts to address environmental challenges, improve conservation strategies, and develop policies that protect natural ecosystems and public health.