Python 2: Intro to data analysis using Pandas (repeat session)
Imagine rolling Excel and MySQL into one tool that also allows you to track your code and share it. That’s Pandas in a nutshell. There’s a lot more you can do with it, of course, but this will be a good start. We’ll learn how to slice and dice our data and extract basic stats. Specifically, we’ll cover loading the data, filtering, sorting, joining and grouping data.
This class is good for: People who are comfortable with Excel and are familiar with the basics of SQL and Python.
Fedor Zarkhin is a data reporter at The Oregonian. His most recent project identified people seriously harmed by a botched $27 million plan to move mentally ill residents out of locked facilities. He has also written about senior care, asbestos, and a decades-old whale explosion. Fedor prefers to analyze data using the Python library pandas, but he's not above a quick pivot table in Excel or a group by in MySQL. @fedorzarkhin
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