Although application developers often use Neo4j, there’s a growing trend of data scientists using graphs to help with their work.
In this session, we’ll look at how to combine Neo4j and the Cypher query language with the Python data science stack, including libraries such as Pandas and matplotlib.
We’ll look at how to do exploratory data analysis and find insights into networked datasets using the newly released graph algorithms package through the use of hands-on tutorials.
Level: Intermediate
Audience: Developers, DBAs, Business Analysts, Data Scientists, and students.
Prerequisites: You will need some familiarity with Neo4j and the Cypher language in particular. The material from the Neo4j Basics Workshop or the online Introduction to Neo4j Training should be sufficient knowledge to understand this workshop.
