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An Introduction to Python for Data Science
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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
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- Workflow Status:Published
- Created By:Jason Wright
- Created:09/25/2018
- Modified By:Jason Wright
- Modified:09/27/2018
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