Module 1
Get started with the Graph Data Science library
In this module, you will learn:
- What 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. is and how it differs from traditional data science
- How graph databases enable analytical approaches impossible with tabular data
- The difference between GDS and Go to glossary for Aura Graph Analytics (opens in a new tab)The Aura service that runs graph algorithms in a separate session, with no plugin to install.
- How to access and deploy Neo4j GDS and Aura Graph Analytics
This foundational introduction prepares you for learning Full definition for projection (opens in a new tab)An in-memory copy of part of your database that graph algorithms run against. You choose which nodes and relationships it holds., algorithm fundamentals, and eventually applying GDS to real-world problems.