Registration Overview

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.

Prerequisites: Fundamentals of Python -or- mastery of core Python programming principles and familiarity with the Google Colab integrated development environment.

  • Students who complete this course will earn 10 PDH.
  • Please direct questions about the course to Help@hprc.tamu.edu . For questions related to the registration process, please contact TEES EDGE.

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.

Sponsors