Graph Data Science in Practice

Course Duration: 4 hours
Categories: Data Analysis

Learn to apply graph algorithms to real-world business problems

Welcome to GraphAcademy and the Graph Data Science in Practice workshop.

In this hands-on workshop, you will learn how to apply graph algorithms to solve real business problems in fraud detection.

What you will learn

The fundamentals of Graph Data Science and the GDS Project → Run → Write workflow
How to create graph projections for different analytical questions
Community detection algorithms (Louvain, WCC) to uncover fraud rings
Centrality algorithms (PageRank, Betweenness, Degree) to rank influential nodes
How to encode domain hypotheses as graph relationships for targeted analysis

Prerequisites

Before taking this workshop, you should have:

Basic understanding of graph databases and Neo4j
Familiarity with Cypher 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.

Duration

4 hours

This workshop includes

14 lessons
Multiple demonstration videos
Live coding exercises
Real-world datasets: P2P financial transactions (fraud)
Pre-configured sandbox environment with datasets

Get Support

If you find yourself stuck at any stage then our friendly community will be happy to help. You can reach out for help on the Neo4j Community Site, or head over to the Neo4j Discord server for real-time discussions.