Environmental Data Analysis with MATLAB

Environmental challenges require precise, data-driven decisions. Processing climate, hydrological, and soil data efficiently is a critical skill for modern civil and environmental engineering professionals. This text-based course guides you through using MATLAB to analyze real-world environmental datasets, perform essential statistical computations, and build foundational models. You will start with key terminology and environment basics before moving to hands-on programming. Learn how to navigate the MATLAB environment and understand basic programming syntax. Import and clean raw environmental data, addressing missing values and outliers. Perform core statistical analyses, probability calculations, and regression modeling. Write clean, modular MATLAB scripts and functions to automate your engineering workflows. Apply vectorization and modern coding practices to process large-scale spatial and temporal data. This course is designed specifically for beginners in engineering and environmental sciences, with no prior programming background required. Start reading today to build your analytical skills and make sense of complex environmental data.