Environmental Data Analysis with MATLAB

Environmental challenges require robust, data-driven solutions, yet translating raw field measurements into actionable insights can feel overwhelming. This course introduces you to the essentials of computing and data analysis tailored specifically for environmental science and engineering applications. You will transition from a beginner to a confident analyst capable of importing, cleaning, and modeling environmental datasets. What you'll learn: • Understand fundamental MATLAB syntax, variables, and data structures for scientific computing. • Import and clean messy environmental datasets, including weather station records and water quality measurements. • Analyze environmental time-series data to detect seasonal trends, anomalies, and long-term shifts. • Apply basic statistical methods and regression analysis to environmental variables. • Model simple environmental systems, such as pollutant transport or climate trends, using numerical methods. • Create clear, professional data visualizations to communicate environmental findings effectively. We begin with foundational programming concepts and MATLAB basics before moving step-by-step through real-world environmental data scenarios. This text-based course is designed for students, researchers, and professionals in environmental science, civil engineering, and ecology who are new to programming. Start analyzing environmental data with confidence today.