Environmental Data Analysis and Computing with MATLAB

Environmental challenges require precise, data-driven solutions. This text-only course introduces you to the core principles of computing and data analysis specifically tailored for environmental applications. You will learn how to process field measurements, analyze spatial and temporal data, and model environmental systems using computational workflows. What you'll learn: Understand foundational environmental data structures and computational concepts; Clean, filter, and preprocess noisy environmental datasets; Apply statistical methods to analyze environmental trends and variability; Solve environmental engineering equations and transport models computationally; Build basic predictive models for air, water, and soil quality parameters; Implement modern data analysis workflows with clean, documented code. Starting with essential terminology and mathematical foundations, this course guides you step-by-step through practical environmental scenarios, from analyzing pollution levels to modeling climate trends. This course is designed for beginners in environmental engineering, earth sciences, and sustainability studies who want to build strong computational skills with no prior programming experience required. Start your journey into environmental data analysis today.