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.
Upon successful completion of the Neo4j Training, learners will receive a Neo4j Course Completion Certificate from igmGuru, validating your knowledge and practical skills in graph databases, Cypher query language, graph data modeling, data importing, and graph data science with Neo4j. Our training prepares you for the official Neo4j certification exams. Below are the details:
Exam Format:
Exam Format:
Neo4j is designed specifically for data where relationships between entities are important. Instead of organizing information mainly in tables, it uses nodes and relationships, making it useful for connected-data use cases such as recommendations, fraud detection, and network analysis.
Yes. SQL knowledge can make it easier to understand Cypher because both are query languages. However, Cypher is designed around graph patterns and relationships, so you will need to learn its graph-specific syntax and approach.
Neo4j Graph Data Science can be used to run graph algorithms and build machine learning workflows. Common applications include finding communities, measuring node importance, finding similar entities, pathfinding, and link prediction.
Neo4j can be used for applications where relationships between data are important, such as recommendation engines, fraud detection, knowledge graphs, network analysis, and graph-based search. It can also be integrated with Python and other application technologies to build graph-powered solutions.
