Followed from “Neo4j Fundamentals”, this is the course for your to learn overview on Cypher Query Language for Graph
Welcome to Cypher Fundamentals, a streamlined, intensive program designed to teach you the core principles and practical applications of Cypher—Neo4j’s declarative graph query language—in the shortest time possible without sacrificing depth or clarity. Whether you are a developer integrating graph databases into modern applications, a data analyst exploring relationships in complex datasets, a data scientist modeling networks, or an architect designing scalable systems, this course equips you with immediately usable skills to query, manipulate, and optimize graph data stored in Neo4j.Cypher stands out for its expressive, human-readable syntax that mirrors natural patterns of thought when working with nodes, relationships, and properties. Instead of wrestling with imperative code or nested SQL joins, you will learn to express sophisticated graph traversals in concise, intuitive statements. By the end of this course, you will confidently write queries that:
What you’ll learn
- Write expressive graph queries using Cypher’s intuitive pattern-matching syntax to retrieve complex relationships.
- Create and maintain graph data safely with CREATE, MERGE, SET, and constraints, ensuring idempotent updates and data integrity in real-world datasets..
- Optimize query performance by leveraging indexes, query profiling, and best practices like starting from indexed nodes and parameterizing inputs..
- Build production-ready solutions using advanced features such as full-text search, APOC procedures.
Course Content
- Introduction –> 1 lecture • 8min.
- Reading Data from Neo4j Graph Database –> 3 lectures • 1hr 38min.
- Writing Data to Neo4j Graph Database –> 5 lectures • 1hr 12min.
- Summary –> 1 lecture • 10min.
- Reference –> 1 lecture • 12min.
Requirements
Welcome to Cypher Fundamentals, a streamlined, intensive program designed to teach you the core principles and practical applications of Cypher—Neo4j’s declarative graph query language—in the shortest time possible without sacrificing depth or clarity. Whether you are a developer integrating graph databases into modern applications, a data analyst exploring relationships in complex datasets, a data scientist modeling networks, or an architect designing scalable systems, this course equips you with immediately usable skills to query, manipulate, and optimize graph data stored in Neo4j.Cypher stands out for its expressive, human-readable syntax that mirrors natural patterns of thought when working with nodes, relationships, and properties. Instead of wrestling with imperative code or nested SQL joins, you will learn to express sophisticated graph traversals in concise, intuitive statements. By the end of this course, you will confidently write queries that:
- Retrieve interconnected data with variable-length paths.
- Create, update, and delete graph elements efficiently.
- Aggregate and filter results using powerful pattern-matching constructs.
- Optimize performance through indexing, query planning, and profiling.
The curriculum is engineered for rapid progression. We prioritize high-impact concepts, real-world examples, and iterative reinforcement so that even learners with minimal prior graph experience can achieve proficiency in hours rather than weeks.
This is the 2nd course in the series of Graph Learning Path, after the “Neo4j Fundamentals”, enjoy your learning journey!