Knowledge Graph: Neo4j Graph Database, Cypher, GraphQL, GDS

Kindly note:

1. Demos are recorded on Windows only.

2. This course includes mostly practical use cases, datasets, and queries that are available on the official Neo4j Sandbox website. The objective is to guide you through these complex Cypher queries & concepts in an easy and time-efficient manner.

Welcome to “Knowledge Graph with Neo4j, Cypher, and GDS”! This comprehensive course is your gateway to mastering the powerful world of graph databases, a cutting-edge technology reshaping how we handle complex data relationships. Designed for data enthusiasts, developers, and anyone keen on exploring the frontier of data technology, this course will equip you with the skills to build and query robust knowledge graphs using Neo4j.

We begin our journey with an Introduction to Neo4j, diving into what makes graph databases unique and essential for modern data challenges. You’ll learn about the architecture and core features of Neo4j, setting a solid foundation for your learning.

Next, we delve into Industry Applications of Neo4j. Through real-world case studies, you’ll see how Neo4j is revolutionizing various industries, from finance to healthcare, showcasing its versatility and impact.

Understanding where Neo4j fits in the data ecosystem is crucial, so we’ll explore Where Neo4j Fits Among Various Database Types, helping you grasp its unique role compared to traditional databases.

We then focus on the Property Graph Model, the backbone of Neo4j, explaining its components and why it’s perfect for representing complex, connected data.

Our hands-on labs start with Neo4j Setup and Installation on Windows. You’ll learn how to get Neo4j up and running, explore the Neo4j Browser, and set up your initial dataset. We’ll also cover different Options for Setting Up Neo4j, whether on the cloud, on-premises, or hybrid setups.

The power of querying is unlocked with an Introduction to Cypher Query Language, Neo4j’s expressive and powerful query language. You’ll master Cypher through a series of practical labs, starting with the General Syntax of Cypher and moving to more advanced topics like Filtering Techniques, Aggregation, CRUD Operations, and advanced features like MERGE, WITH, and RETURN.

In our Shortest Path lab, you’ll learn how to find the quickest route between nodes, a fundamental skill in graph analytics.

We then present an exciting challenge with our Crime Investigation Using Neo4j use case, where you’ll apply what you’ve learned to solve a mystery.

But the learning doesn’t stop there! We move on to Understanding the Graph Data Science Library with an engaging Flights Data Use Case. Here, you’ll explore powerful algorithms in Neo4j’s Graph Data Science Library through hands-on labs, including Centrality, Community Detection, Node Similarity, and Path Finding.

Performance is critical in graph databases, so we’ll cover Memory Allocation Recommendations in Neo4j and share Best Practices to Write Optimized Queries, ensuring your queries are efficient and your databases run smoothly.

By the end of this course, you’ll have a thorough understanding of Neo4j, Cypher, and the Graph Data Science Library. You’ll be ready to build, query, and optimize your own knowledge graphs with confidence and expertise. Join us and take the first step towards becoming a Neo4j and graph database expert!

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!