GraphAcademy
Course

Graph Data Science in Practice

14 lessons across 2 modules
Developing Practitioner Skills in Neo4jWorkshops
About this course

In this course, you will learn

  • Graph Data Science

  • Community Detection

  • Fraud Detection

Course content

2 modules, 14 lessons.

  1. 8 lessons
    1. What is Graph Data Science?
    2. The GDS Workflow
    3. Algorithm Categories
    4. Graph Projections and Structure
    5. Projection Practice
    6. Applying Algorithms
    7. Execution Modes and Configuration
    8. Projection Configuration for Algorithms
  2. 6 lessons
    1. Fraud Detection
    2. Louvain Community Detection
    3. Reducing Search Space with Louvain
    4. Degree Centrality & WCC
    5. Building Fraud Communities
    6. Workshop Complete!