The tutorial demonstrates how to analyze a dataset from issuu.com using Neo4j, a graph database. It starts by explaining the concept of data analysis and the tools and techniques available for pursuing it. The authors use Neo4j to represent and visualize the data, leveraging its query language called Cypher to build queries and find answers. They import a JSON dataset into Neo4j, create nodes and relationships, add constraints and indexes, and perform various queries to derive insights from the data. The tutorial covers topics such as data modeling, querying, indexing, and constraint management in Neo4j. It provides examples of Cypher queries that can be used to analyze the dataset and extract meaningful information. The authors also discuss how to use APOC user-defined procedures to further manipulate the graph and improve query performance. Throughout the tutorial, they emphasize the importance of understanding data analysis concepts, Neo4j's data modeling capabilities, and the power of Cypher queries in extracting insights from complex datasets.