Congratulations!
You’ve completed the GDS Python Client & Aura Graph Analytics workshop!
In just 4 hours, you’ve moved from Browser-based GDS to running sophisticated graph analytics at scale with Python and Aura Graph Analytics.
What You’ve Accomplished
Module 1: Python GDS Client
You built production-ready workflows:
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Connected to Neo4j and ran algorithms programmatically
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Translated Cypher projections to native Python projections
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Analyzed citation networks with PageRank and Betweenness Centrality
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Detected research communities with Louvain
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Generated FastRP embeddings for machine learning pipelines
Module 2: Aura Graph Analytics
You scaled analytics to the cloud:
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Created ephemeral GDS Sessions for scalable workloads
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Optimized routes with Dijkstra’s shortest path
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Found alternative paths with Yen’s k-shortest paths
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Learned to run analytics without impacting production databases
You’re Now Ready To
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Build production workflows with the Python GDS client
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Scale analytics with Aura Graph Analytics
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Apply GDS to your own datasets using the skills you’ve practiced
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Optimize logistics, analyze networks, and more
Your Next Steps
Ready to go deeper?
Continue Learning:
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Graph Data Science Fundamentals - Comprehensive coverage of all GDS concepts
Related Skills:
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Cypher Fundamentals - Master the query language
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Graph Data Modeling Fundamentals - Design effective graph structures
Resources:
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GDS Documentation - Complete algorithm reference
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Neo4j Community Forum - Connect with other practitioners
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GDS Developer Guide - Practical examples
Keep Practicing
Create a free Neo4j AuraDB instance or download Neo4j Desktop to continue applying these skills to your own data.
Thank You!
Thank you for completing the GDS Python Client & Aura Graph Analytics workshop. We hope you enjoyed the hands-on experience and feel confident building Python-based graph analytics workflows.
Now go build something amazing with graph data science!
Summary
You’ve successfully completed all 13 lessons across 2 modules:
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9 lessons on Python GDS client workflows
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4 lessons on Aura Graph Analytics and pathfinding
You’re now equipped to build production workflows with Python and scale analytics with Aura Graph Analytics.