Site announcements

Site maintenance July 23, 2024

by Unidata Admin User -
 
 

NSF Unidata eLearning will be periodically offline the evening of Tuesday, July 23, 2024 between the hours of 9 PM - 12 AM Eastern for maintenance. 

 
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Available courses

Machine Learning Foundations in the Earth Systems Sciences

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. 

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Getting Started with Siphon and THREDDS

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. 


Multidimensional Data Structures

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. 

Learn AWIPS CAVE

eLearning Course

The Advanced Weather Interactive Processing System (AWIPS) is a meteorological software package used for decoding, displaying, and analyzing data. In this course, you will learn the fundamentals of working with the desktop client, AWIPS CAVE, through demonstrations, tutorials, activities, assessments, and challenges. Sections should be completed in sequence but may be completed over multiple sessions. 


Learn Python-AWIPS

eLearning Module

The python-awips package provides a data access framework for requesting meteorological and geographic datasets from a EDEX server. Python-AWIPS expands the visualization and analysis options of AWIPS CAVE by bringing resources into Python, enabling the use of popular scientific tools such as SciPy, MetPy, and Cartopy. This course will introduce you to the basic concepts of working with this package to access, manipulate, and plot resources. 

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