Quantitative research in the geosciences has increasingly relied on open-source coding in programming languages such as MATLAB, Python and R. Coding proficiency enables researchers to mine large datasets and analyze and model spatiotemporal phenomena with relative ease. This course provides hands-on training in MATLAB. The purpose of the workshops is to develop core competencies and confidence in data table operations, mining and management; working with self-describing, multi-dimensional datasets (e.g., NetCDFs); data visualization, mapping and production of publication-quality figures; statistical tests; principal component analysis; signal processing and time-series analysis; and linear regression modeling. This course is specifically aimed at students with little to no coding experience.