Module Overview
In the previous course, Introduction to Neo4j Graph Data Science, you learned about the graph catalog and how to create and managed graph projections.
In this module, you will learn about the robust collection of graph algorithms available in GDS and how to use them on real data. We will start this module off with a lesson on algorithms tiers and execution modes so you have an understanding of general usage patterns. After that we will cover our 5 biggest algorithm categories.
The module outline is as follows:

Algorithm Tier and Execution Modes

Centrality and Importance Algorithms

Path Finding Algorithms

Community Detection Algorithms

Node Embeddings

Similarity Algorithms