Graph Data Science
Apply powerful ML algorithms directly to graph structure. Detect communities, predict links, rank nodes, and find similar entities — at scale.
The curriculum
5 courses, to complete.
A rhythm of deeper courses that teach concepts, and quicker labs that drill a single pattern.
- 01Course3h
Get started with Graph Data Science
Learn the fundamentals of Neo4j Graph Data Science
Start the course - 02Course1h
Aura Graph Analytics fundamentals
Aura Graph Analytics is on-demand, session-based graph compute — pay-per-minute, isolated from your live database, and able to read graphs from any data source. Learn what AGA is, when to reach for it, and how to drive sessions from Cypher, Python, and any Neo4j driver.
Start the course - 03Course1h
Path Finding with GDS
Learn how to find the shortest paths between pairs of nodes in the graph
Start the course - 04Course2h
Understand centrality algorithms
Centrality algorithms can be divided into six loose families, and the algorithms inside a family answer similar questions. In this lab, you'll understand which families are the right ones for which kinds of analyses.
Start the course - 05Certification1h
Neo4j Graph Data Science Certification
Prove your graph data science skills. This certification tests your knowledge of GDS algorithms, graph projections, and analytics workflows in Neo4j.
Take the certification
Prove your Neo4j skills.
Prove your graph data science skills. This certification tests your knowledge of GDS algorithms, graph projections, and analytics workflows in Neo4j.
Neo4j Graph Data Science Certification
Prove your graph data science skills. This certification tests your knowledge of GDS algorithms, graph projections, and analytics workflows in Neo4j.
Start the exam