GraphAcademy
Learning path

Graph Data Science

Apply powerful ML algorithms directly to graph structure. Detect communities, predict links, rank nodes, and find similar entities — at scale.

Start the path Explore GDS courses
  • 3
    Courses
  • ~4h
    Total time

The curriculum

3 courses, to complete.

A rhythm of deeper courses that teach concepts, and quicker labs that drill a single pattern.

3 Courses · 1–2 hours each
  1. 01
    Course3h

    Get started with Graph Data Science

    Data Scientist
    Start the course
  2. 02
    Course

    Applied Algorithms in GDS

    Data ScientistAnalytics
    Start the course
  3. 03
    Course1h

    Path Finding with GDS

    Data ScientistAnalytics
    Start the course

Keep going

Where to next, after this path.

Once you complete this path, these are the natural next steps. Pick the one closest to what you build day-to-day.

Generative AI

Generative AI & GraphRAG

Give your LLMs a knowledge graph memory. Build RAG pipelines that retrieve structured, contextual facts for more accurate, grounded answers.

Explore path Sharpen your

Sharpen your Cypher

The query language of connected data. Learn to model, query, and traverse graphs — from your first node to complex multi-hop relationships.

Explore path Graph Application

Graph Application Development

Ship production apps powered by Neo4j. Driver courses for building applications with Python, JavaScript, Java, .NET, and Go.

Explore path