This new course, "Introduction to Graph Algorithms in Neo4j 4.0", is designed for experienced Cypher developers and data scientists who want to learn the most important best practices for using graph algorithms in the Neo4j Graph Data Science Library for analysis of their graphs. The course includes hands-on exercises that allow participants to run common graph algorithms using the Neo4j Graph Data Science Playground and Cypher queries in Neo4j Browser, with a total estimated completion time of around five hours. The course covers various topics such as overview of graph algorithms, introduction to the Graph Data Science Library, environment setup, graph algorithms workflow, memory requirements estimation, community detection algorithms, centrality algorithms, similarity algorithms, practical application of algorithms, and additional information.