Congratulations!
You’ve completed the Graph Data Science in Practice workshop!
In just 4 hours, you’ve gone from learning the fundamentals of graph data science to uncovering hidden fraud networks in real financial data.
What You’ve Accomplished
Module 1: GDS Foundations
You mastered the fundamentals:
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The GDS Project → Run → Write workflow
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How to create graph projections for different analytical questions
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Algorithm categories and when to use each one
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Execution modes (stream, stats, mutate, write)
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Projection configuration for undirected relationships, weights, and node properties
Module 2: Community Detection for Fraud
You applied algorithms to real fraud detection:
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Used Louvain to reduce a 204,000-user search space by 98%
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Applied WCC for deterministic, explainable community assignment
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Filtered noise with Degree Centrality
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Encoded domain hypotheses as graph relationships
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Identified 211 previously unknown fraud risk users handling 13% of all transaction volume
You’re Now Ready To
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Apply GDS to your own datasets using the workflow you’ve practiced
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Choose the right algorithms for different business problems
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Encode domain knowledge as graph relationships for targeted analysis
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Detect fraud patterns, uncover hidden networks, and prioritize investigations
Your Next Steps
Online Courses:
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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 Graph Data Science in Practice workshop. We hope you enjoyed the hands-on experience and feel confident applying graph algorithms to solve real-world problems.
Now go build something amazing with graph data science!
Summary
You’ve successfully completed all 14 lessons across 2 modules:
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8 lessons on GDS foundations and workflow
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6 lessons on community detection for fraud
You’re now equipped to apply graph algorithms to real business problems. Take the GDS Python Client & Aura Graph Analytics workshop to move into Python and scale your analytics.