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Environmental Data Analysis

Course Description

This class is designed to equip students with the essential skills and knowledge required to effectively analyze and visualize environmental data using the Python programming language. Students will engage in hands-on learning and practical application of various Python libraries and tools to process, analyze, and visualize diverse environmental datasets.

This class is part of our Code & Grow program.

What you will learn

* Python programming (Intermediate-Level)
* Python libraries like Matplotlib, Seaborn, and Plotly
* Data manipulation and cleaning
* Statistical analysis and hypothesis testing
* Visualization techniques


Designed for: 8 - 11 graders
Difficulty Level: Intermediate
Prerequisites: Plant Care Automation with Raspberry Pi and Python class
When: Saturdays 10 AM - 11:45 AM PST from February 10 through April 20
Where: Ohlone College, 43600 Mission Blvd, Fremont, CA 94539

What to bring to class

What to bring to class:
Students are required to bring their own Mac OS-based or Windows-based laptop. All other materials will be provided in class. Please note that Chromebooks are NOT supported for this class.




11 sessions

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