GraphAcademy
Course

Graph Data Science in Practice

Learn to apply graph algorithms to real-world business problems

4 hours14 lessons across 2 modules
Developing Practitioner Skills in Neo4jIntermediate
About this course

In this 4-hour course, you will learn

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.

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.

  • Graph Data Science

  • Community Detection

  • Fraud Detection

Course content

2 modules, 4 hours.

  1. 8 lessons
    1. What is Graph Data Science?5 min
    2. The GDS Workflow5 min
    3. Algorithm Categories5 min
    4. Graph Projections and Structure5 min
    5. Projection Practice5 min
    6. Applying Algorithms5 min
    7. Execution Modes and Configuration5 min
    8. Projection Configuration for Algorithms5 min
  2. 6 lessons
    1. Fraud Detection5 min
    2. Louvain Community Detection5 min
    3. Reducing Search Space with Louvain5 min
    4. Degree Centrality & WCC5 min
    5. Building Fraud Communities5 min
    6. Workshop Complete!5 min