Provides conceptual, technical, and communication skills to investigate and answer environmental questions using data. Topics include data manipulation, exploratory data analysis, descriptive statistics, regression, hypothesis testing, uncertainty, and data visualization. Skills for data exploration, analysis, and project management will be developed through analysis of real-world datasets using R and RStudio while building tools for and understanding of computational reproducibility and collaboration.