Open-Source Hydrologic Data Analytics

Catalog description

A hands-on introduction to basics of the modern data science stack used across research and industry for hydrology and climate research. We will take a project-based approach, learning software packages and best practices while building our own analysis for a real-world problem. Major topics covered will include Python Programming Language for scientific computing, collaborative open-source development, major data repositories and how to interact with them, introduction to hydrologic modeling, and the basics of visualization. No prior coding experience is required.