From the course: Adobe: Customer Journey Analytics

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Accessing data via API

Accessing data via API - Adobe Analytics Tutorial

From the course: Adobe: Customer Journey Analytics

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Accessing data via API

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- [Instructor] As you know, the data in customer journey analytics is incredibly useful to business users, marketers, analysts, and product users, but it's also incredibly valuable to data scientists. These users often have complex setups for their data, utilizing programming languages like R and Python to run powerful models and algorithms for forecasting, decisioning, and more. The community in coordination with Adobe has made it easier than ever to tap into CJA data. If you are a data scientist or an aspiring data scientist, this video is merely meant to make you aware of the tools at your disposal. Let's start with Python. If you are looking to connect to a data view using Python, you'll be glad to know that there is a Python wrapper that was specifically built for customer journey analytics. It's called C-J-A-P-Y, or cjapy, and is managed by Julian Pacini, a consultant here at Adobe. As you can see, Julian has done an excellent job keeping the wrapper up to date with useful…

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