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This workshop is designed to help business students acquire data processing skills that are:
- automated
- repeatable
- testable
through using Python as an adjunct for (or replacement to) a spreadsheet. We cover dealing with tabular data, basic statistical tests, plotting, pivot tables, and more.
Learners need to understand the concepts of files and directories (including the working directory) and how to start a Python interpreter before tackling this lesson. This lesson references the Jupyter (IPython) Notebook although it can be taught through any Python interpreter. The commands in this lesson pertain to Python 3. {: .prereq}
To get started, follow the directions in the "Setup" tab to download data to your computer and follow any installation instructions.