Data wrangling with Python (repeat session)
In this session, you’ll get the techniques and libraries you need for managing data-driven stories in Python. We’ll take a dataset and generate some descriptive statistics for it, and then we’ll ask some specific questions of it. We’ll do geographic data analysis, and we’ll learn how to structure a clean and reusable pipeline for analyzing the data that holds up to fact-checking.
Suggested technical experience: Basic familiarity with Python and with programming, but not a lot. This is a course for people relatively new to Python, but not so new that they’ve never used the language before. If you’re pretty familiar with Excel and can make Python say, “Hello world!” you’re a good fit for this class.
Jackie loves data and teaching coding. The author of the O’Reilly book, Data Wrangling with Python, she has worked in finance, government, and journalism, focusing on public service. In her current role, she is a tech fellow at Capital One. Previously, she co-founded 18F, was a Presidential Innovation Fellow, and has worked at The Washington Post. Notable projects include: Geoq, Congress.gov, and Top Secret America. Twitter & Medium: @jackiekazil
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