Graph Data Science in Practice
Learn to apply graph algorithms to real-world business problems
In this 4-hour workshop, you will learn
Welcome to GraphAcademy and the Go to glossary for graph data science (opens in a new tab)Analysing data through the structure of its connections. Also the name of the Neo4j library that implements it. in Practice workshop.
In this hands-on workshop, you will learn how to apply graph algorithms to solve real business problems in fraud detection.
In the first lesson, you will create a free Neo4j Sandbox pre-loaded with the dataset used throughout this workshop.
Before taking this workshop, you should have:
- Basic understanding of graph databases and Neo4j
- Familiarity with Full definition for Cypher (opens in a new tab)Neo4j's implementation of GQL, the ISO standard query language for graph databases. It is declarative: you describe the pattern to find, and the database decides how to find it. query language
- Able to read and execute basic queries in Neo4j Browser
We recommend taking the Neo4j Fundamentals - Learn the basics of graph databases course or the Introduction to Graph Databases workshop.
Graph Data Science
Community Detection
Fraud Detection
What you need to take part.
A GraphAcademy account
The workshop is delivered here on GraphAcademy, so you need to be signed in to work through the lessons and keep your progress. Creating an account is free.