Neo4j online training covers the core concepts of graph databases and how to model, store, and analyze highly connected data using Neo4j’s powerful graph technology. You will build your skills in Cypher querying, graph data modeling, graph algorithms, and real-world use cases like recommendations, fraud detection, and network analysis.
Prerequisites
- Basic knowledge of databases and SQL
- Familiarity with Python or any programming language
What You Will Learn
- Fundamentals of graph databases and Neo4j architecture
- Writing and optimizing queries with Cypher
- Designing efficient graph data models
- Importing and managing data in Neo4j
- Applying graph algorithms for analytics and insights
- Using the Neo4j Graph Data Science (GDS) library
- Implementing graph embeddings and integrating with ML workflows
- Building applications with Neo4j and Python integration
Career Path After Neo4j Training
- Neo4j Developer
- Graph Database Developer
- Database Developer
- Backend Developer
- Data Engineer
- Data Architect
- Graph Data Engineer
- Solutions Architect
- Big Data Engineer
- Graph Analytics Engineer