A Graph Learning Journey: Graph Data Science Overview

Whether you’re already a Neo4j Certified Professional or actively working toward it during Certification Month, this session is your invitation to go deeper into the why and how of Graph Data Science (GDS).
Join Neo4j Graph Analytics expert Alison Collette for a walkthrough of how GDS builds on what you already know about graph modeling and Cypher—and opens up a whole new layer of technical power. You’ll learn how developers are applying GDS to build production-grade systems that include:

– Recommendation engines based on node similarity
– Fraud detection using community detection and pathfinding
– Search ranking and personalization powered by centrality metrics
– Graph embeddings to supercharge ML workflows

If you’ve mastered querying and data import, GDS is the next level: giving you a toolbox of pre-built graph algorithms and analytics pipelines that run natively inside your graph. And yes, it’s all Cypher-first and developer-friendly.
You’ll also get a sneak peek at what’s covered in the Neo4j Graph Data Science Certification and why it’s the perfect complement to your existing certification or your current learning journey.

Explore GraphAcademy: https://graphacademy.neo4j.com/
Guest: Alison Cossette

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