Exploration and Analysis of Environmental Data

Catalog description

Data science applied to environmental topics including climate science, energy, agriculture and ecology, using both Python and R. Fundamental and advanced topics related to climate science, carbon accounting, and environmental footprint analysis, using datasets available through the US EPA, USDA, Energy Information Administration and Intergovernmental Panel on Climate Change. Emphasizes data acquisition using RESTful APIs and Python. Also focuses on visualization and exploration of geospatial data. Assumes knowledge of Python and R.