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This course covers a selection of scientific programming tools commonly used in Python programming at the intermediate level. Students will learn research techniques such as manipulating and visualizing data, exploring functions, modeling, and retrieving data from the internet. Topics and exercises are selected to be relevant for data science applications. Tools are drawn primarily from the libraries NumPy, SciPy, Matplotlib, and Pandas.

Learning Description

During this asynchronous, online course, students will:

  • become familiar with commonly used Python libraries.
  • practice programming skills relevant for research.
  • be able to acquire, process, analyze, and visualize data.

Target Audience

Students already familiar with Python programming language who are interested in scientific research.

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Register Now - Select from options below

Title
Intermediate 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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