Data Analysis for Environmental Science and Engineering

Environmental challenges require rigorous data analysis to uncover trends, model outcomes, and design sustainable solutions. This course introduces you to the core principles of computing and statistics tailored specifically for environmental applications. You will learn how to process environmental data, run statistical tests, and interpret complex datasets with confidence. By the end of this course, you will understand how to transform raw measurements into actionable environmental insights using modern, readable code. What you will learn: Understand fundamental statistical concepts and data distributions in environmental science; Practice cleaning and structuring messy environmental sensor and spatial data; Apply regression models to predict environmental trends and analyze relationships; Configure basic time-series analyses for tracking climate and water quality patterns; Learn modern data practices including type hints and reproducible virtual environments. This course begins with foundational definitions and key terminology before guiding you step-by-step through practical data analysis workflows. It is designed for beginners, students, and professionals in civil engineering or environmental science who want to build their computational skills from scratch. Start reading today to unlock the power of environmental data.