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This course covers a selection of scientific programming tools occasionally used in Python programming at the advanced level. Students will work with multi-dimensional data and upgrade existing workflows to leverage parallel computing. Topics and exercises are selected to be relevant for data science applications. Tools are drawn primarily from the libraries Xarray and Dask. 

Students will learn how to handle multi-dimensional data using the Xarray library, and students will learn how to upgrade existing workflows to leverage parallel computing using the Dask library.

Learning Description

During this asynchronous, online course, students will learn how to handle multi-dimensional data using the Xarray library, and how to upgrade existing workflows to leverage parallel computing using the Dask library.

Target Audience

Students already familiar with Python programming language who are interested in scientific research on a topic that requires multi-dimensional data

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Title
Advanced Python Programming for Data Science
Type
Online, self paced
Dates
Sep 01, 2025 to Aug 31, 2026
Fee(s)
Reg Fee non-credit $0.00
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