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Day 1

The data analysis landscape (30 minutes)

• We have lots of tools and software to choose from to use on a daily basis for our work. Are we choosing the best tool for the job?
• Where does Python fit in?
• How does Python fit in with things that I already use and my clients and coworkers use?

Python and other programming languages (10 minutes)

• What can Python do?
• What's special about Python?

Python on my computer (15 minutes)

• Why do I need Anaconda?
• Where is everything saved?
• How do I run a script?
• What is the shell?
• Do I have Anaconda installed propoerly? (Please do this before you come!)

Get running with Python (45 minutes)

• Introduction to Jupyter Notebooks and other editors
• Python basics and using python for every day work

Extra References for Day 1

• List of Python Editors
• More tutorials
• Working with environments and packages in Anaconda

Day 2

Using Pandas (30 minutes)

• What is Pandas?
• Pandas workflow: Excel/Text/Web/Raw data -> Pandas Dataframe -> Do "something" -> export to Excel/text/web/visualizaton/interactive
• Common Pandas commands

Matplotlib and other visulizations (30 minutes)

Example Projects (30 minutes)

Extra References for Day 2