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Data Analysis with Python

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Pre-requisite: Introduction to Python, Python Logic

This workshop will go over the basics of Numpy and Pandas, Python's data science libraries. We will then use these libraries to read in a dataset, manipulate and clean our data, and then export, analyze, and visualize our refined data to gain valuable insights.

Recommended for students with at least a basic knowledge of programming and Python.

Tools: Anaconda 3.6, Jupyter Notebook, Numpy, Pandas, matplotlib, seaborn

PLEASE DO NOT BE LATE FOR YOUR SESSION!

 

Status

  • Workflow Status:Published
  • Created By:Jason Wright
  • Created:01/24/2020
  • Modified By:Jason Wright
  • Modified:01/24/2020