Environmental Data Analysis and Modeling with MATLAB

Environmental challenges require precise data analysis, from tracking pollutant dispersion to modeling complex hydrological cycles. This text-based course guides you from MATLAB beginner to confidently writing scripts that process, analyze, and interpret environmental datasets. You will learn to work with real-world scientific data, turning raw measurements into actionable environmental insights. What you'll learn: - Understand core MATLAB syntax, variables, and matrix operations tailored for environmental datasets - Import and clean raw environmental data, including time-series rainfall and spatial pollution measurements - Analyze environmental patterns using statistical computing, regression models, and data filtering techniques - Model environmental systems, such as pollutant transport and population dynamics, using numerical methods - Apply modern data practices, including structuring tidy datasets and writing modular, reusable code You will start with foundational MATLAB concepts and step-by-step progress to building environmental models, reading clear explanations and code snippets along the way. This course is designed for beginners in engineering and environmental science, requiring no prior programming experience. Start analyzing environmental data with precision today.