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Neo4j for Data Scientists and Analysts: Analyze Relationships in Large Datasets to Gain Insights Faster
Paperback
Publisher: Independently Published
Published: Sep 22 2025
Pages: 196
Weight: 0.59
Height: 0.42 Width: 6.00 Depth: 9.00
Language: English
- Design effective graph data models using nodes, relationships, and properties
- Query large datasets with Cypher and optimize performance for billions of relationships
- Apply graph algorithms for fraud detection, recommendations, and network analysis
- Integrate Neo4j with Python, Apache Spark, and Kafka for scalable analytics
- Build graph embeddings and neural networks for machine learning applications
- Visualize and interpret knowledge graphs for actionable business insights
- Key Takeaways that summarize core lessons
- Application Tips to put concepts into practice immediately
- Common Mistakes to avoid costly pitfalls
- Quick Quiz flashcards for self-testing and active recall
Code you can use right away:
From Cypher queries to Python scripts, every chapter includes working examples that help you move from learning to doing. You will practice with hands-on projects across industries, reinforcing your skills through real-world scenarios. Master the graph mindset and gain a competitive edge in data science. Grab your copy today and start analyzing relationships at scale with Neo4j.
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