In preparation for NODES 2022, we are hosting a couple of workshops!

Graph EDA Using the Neo4j GDS Client

Level: Intermediate - Advanced
Prerequisites: Basic knowledge of graph data, Python, and exploratory data analysis  
Audience: Mainly Data Scientists and Data Analysts, but open to all


Exploratory Data Analysis (EDA) is a well established step in the data science process. However, few examples or best practices address the unique challenges of performing EDA on graph data.

During this technical workshop, Daniel Bukowski, a Neo4j Customer Success Architect, will share best practices for performing in-depth Graph EDA. The workshop will also demonstrate specific steps for performing Graph EDA using the Neo4j Platform and a Jupyter Notebook.

Workshop participants will leave with tools and techniques that they can immediately apply to their Graph Data Science projects.

Other workshops:

Daniel Bukowski
GDS Customer Success Architect, Neo4j

Markus Kubicek

Philipp Zacharias

Stefan Kolmar
VP Field Engineering EMEA & APAC, Neo4j

Bruno Ungermann
Country Manager Deutschland, Neo4j


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The webinar has ended. Please click here to view it on-demand.