Neo4j’s Graph Data Science (GDS) Certification is your ticket to demonstrating mastery in graph-based data science. Whether you're a data scientist, analyst, or software engineer, it’s an excellent credential to add to your professional profile.
What You'll Be Tested On
The certification exam covers:
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Core usage of the Neo4j GDS Library
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The graph data science workflow (from graph projection to algorithm evaluation)
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Specific graph algorithms and their applications
Aspect | Details |
---|---|
Questions | 40 |
Duration | 60 minutes |
Passing Score | 80% or more |
Retake Policy | Allowed after 24 hours |
Proctoring | None—you have open-book access |
Certificate Delivery | Instantly via email with printable link |
How to Prepare
Neo4j recommends—and our experience confirms—completing the following free courses from GraphAcademy:
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Introduction to Neo4j Graph Data Science (30 minutes)
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Neo4j Graph Data Science Fundamentals (1 hour)
These include lessons on graph projections, catalog handling, and algorithm workflows (centrality, path-finding, embeddings, etc.).
For deeper context—or if it's your first Neo4j certification—you may optionally also complete the Neo4j Certified Professional sequence, which includes Neo4j Fundamentals and Cypher-related courses
Neo4j’s free, non-proctored format allows you to retake the exam as needed—each attempt brings you closer to passing. You also earn a shareable certificate to showcase your new credential.
Advantages of Getting Certified in Neo4j Graph Data Science
1. It’s Completely Free
Unlike many professional certifications that charge hefty fees, Neo4j’s GDS certification is 100% free—including access to training materials and the exam. This makes it highly accessible for students, professionals, and career changers alike.
2. Boosts Your Data Science Profile
Certification demonstrates that you have hands-on knowledge of graph data science techniques, giving your resume or LinkedIn profile an edge—especially for roles in AI, ML, big data, and analytics.
3. Validates Your Graph Knowledge
Graph-based approaches are transforming fields like fraud detection, recommendation systems, and network analysis. Certification validates your ability to use graph algorithms, workflows, and the Neo4j GDS library effectively.
4. Hands-On, Practical Skill Building
Preparation for the exam includes real-world workflows—like graph projections, similarity algorithms, and embeddings—giving you direct experience with powerful tools that are being used in cutting-edge analytics.
5. Flexible and Self-Paced
The exam and training are fully online, open-book, and self-paced. You can learn and certify on your own schedule, without time pressure or the need for formal enrollment.
6. Instant, Shareable Recognition
Once you pass, you get a certificate instantly. You can download, print, or share it digitally—perfect for job applications, promotions, or even just celebrating your growth!
7. Retry-Friendly
Didn’t pass the first time? No problem. You can retake the exam after 24 hours, making it low-risk and stress-free.
8. Access to a Growing Graph Community
Certification connects you with a global community of data scientists and developers working with Neo4j. This opens doors to networking, collaboration, and career opportunities.
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