eLearning Module
In this module, you will discover how machine learning is used by scientists, the process for supervised machine learning model development, how data plays a crucial role in making good predictions, and how to be an effective and ethical user of machine learning tools. No coding experience is required.
Microlearning
In this module, learners will be introduced to the THREDDS Data Server and Siphon data access architecture and practice making a request for remote data in Python.
This module is recommended for new users of Siphon and the THREDDS Data Server.
Microlearning
In this module, learners will review the multidimensional nature of Earth Systems Science data, explore the hierarchical nature of multidimensional data structures, and search for critical metadata within these structures.
This module is recommended for new users of netCDF data.