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Data Acquisition and Wrangling with Python Workshop

District Data Labs

Eighty percent or more of the time spent on data science projects is spent acquiring data, cleaning it, and preparing it for analysis. That data can come from a variety of sources, including APIs or individual web pages. However, not all data is created equal. Once we have automated its acquisition, much of it requires lengthy cleaning and formatting before it can be used. In this course you will learn how to obtain, clean, and mashup data in preparation for analysis. [Read more…]