Neo4j is a leading open-source graph database that uses graph structures to store and query data, representing entities as nodes and their relationships as edges. It is designed to handle highly connected data, making it ideal for applications such as social networks, recommendation systems, fraud detection, and network analysis.
Learning Neo4j is essential for software developers, web developers, and database administrators who need to work with complex, interrelated data that traditional relational databases struggle to model efficiently. Neo4j allows users to perform efficient queries on large-scale connected data with its intuitive query language, Cypher.
A tutor can accelerate the learning process by providing structured lessons on graph theory, database design with Neo4j, and hands-on exercises that involve real-world scenarios like building recommendation engines or social graph analysis, equipping learners with the skills to leverage Neo4j in real applications and make them job-ready for roles requiring graph database expertise.

Introductory Course of Neo4j Database

Chapter 1: Introduction to Databases
  • Lesson 1: What Are Databases? (SQL vs. NoSQL)
  • Lesson 2: Types of Databases (Relational, Document, Key-Value, Columnar, Graph)
  • Lesson 3: Popular Databases: MySQL, PostgreSQL, MongoDB, Cassandra, Neo4j, etc.
  • Lesson 4: SQL vs. NoSQL: Key Differences and Use Cases
  • Lesson 5: Introduction to Graph Databases and Their Importance
  • Lesson 6: Comparing Neo4j with Other Databases
Chapter 2: Introduction to Neo4j
  • Lesson 1: What is Neo4j?
  • Lesson 2: History and Evolution of Neo4j
  • Lesson 3: Key Features and Benefits of Neo4j
  • Lesson 4: Use Cases of Neo4j (Social Networks, Fraud Detection, Recommendations)
  • Lesson 5: Understanding the Neo4j Ecosystem (Neo4j Desktop, AuraDB, Bloom, GraphQL)
  • Lesson 6: Differences Between Neo4j Community and Enterprise Editions
Chapter 3: Setting Up Neo4j
  • Lesson 1: System Requirements for Neo4j Installation
  • Lesson 2: Installing Neo4j on Windows
  • Lesson 3: Installing Neo4j on macOS
  • Lesson 4: Installing Neo4j on Linux (Using apt/yum)
  • Lesson 5: Setting Up Neo4j Desktop and Neo4j Browser
  • Lesson 6: Command Line Setup and Configuration
  • Lesson 7: Verifying and Testing the Installation
Chapter 4: Understanding Graph Data Model
  • Lesson 1: Nodes, Relationships, Properties: The Basics
  • Lesson 2: Labels, Relationship Types, and Property Graph Model
  • Lesson 3: Data Modeling in Graph Databases
  • Lesson 4: Converting Relational Data to Graph Data
  • Lesson 5: Understanding Graph Indexing and Constraints
Chapter 5: Cypher Query Language (CQL) Basics
  • Lesson 1: Introduction to Cypher Query Language
  • Lesson 2: Creating Nodes and Relationships
  • Lesson 3: Retrieving Data Using MATCH
  • Lesson 4: Filtering Queries Using WHERE
  • Lesson 5: Using RETURN to Format Results
  • Lesson 6: Deleting Nodes and Relationships
Chapter 6: Working with Graph Data in Neo4j
  • Lesson 1: Updating Nodes and Relationships
  • Lesson 2: Using CREATE, MERGE, and SET
  • Lesson 3: Managing Transactions and Batching Queries
  • Lesson 4: Advanced Query Patterns (Patterns and Paths)
  • Lesson 5: Working with Labels and Indexes

Advance Course of Neo4j Database

Chapter 1: Advanced Cypher Queries
  • Lesson 1: Using Aggregation Functions (COUNT, SUM, AVG)
  • Lesson 2: Ordering and Pagination
  • Lesson 3: Pattern Matching and Complex Queries
  • Lesson 4: Path Finding Algorithms (Shortest Path, All Paths)
  • Lesson 5: Working with Subqueries
Chapter 2: Graph Algorithms and Analytics
  • Lesson 1: Introduction to Graph Algorithms
  • Lesson 2: PageRank Algorithm
  • Lesson 3: Community Detection Algorithms (Louvain, Label Propagation)
  • Lesson 4: Centrality Algorithms (Betweenness, Closeness, Degree Centrality)
  • Lesson 5: Similarity and Recommendation Algorithms
Chapter 3: Neo4j Performance Tuning and Optimization
  • Lesson 1: Indexing Strategies in Neo4j
  • Lesson 2: Query Optimization Techniques
  • Lesson 3: Understanding Memory Usage and Cache Optimization
  • Lesson 4: Profiling and Debugging Queries Using EXPLAIN and PROFILE
  • Lesson 5: Best Practices for Large Graph Data Sets
Chapter 4: Security and Access Control in Neo4j
  • Lesson 1: Authentication and Authorization in Neo4j
  • Lesson 2: Role-Based Access Control (RBAC)
  • Lesson 3: Managing User Permissions and Data Security
  • Lesson 4: Securely Exposing Neo4j via APIs
  • Lesson 5: Encryption and Secure Connections
Chapter 5: Integrating Neo4j with Other Technologies
  • Lesson 1: Connecting Neo4j with Python (Neo4j Python Driver)
  • Lesson 2: Connecting Neo4j with Java and JavaScript
  • Lesson 3: Neo4j and GraphQL: Building GraphQL APIs
  • Lesson 4: Connecting Neo4j with Apache Spark for Big Data Analytics
  • Lesson 5: Using Neo4j with Cloud Platforms (AWS, Azure, GCP)
Chapter 6: Backup, Restore, and High Availability
  • Lesson 1: Backup and Restore Strategies in Neo4j
  • Lesson 2: High Availability in Neo4j Cluster Setup
  • Lesson 3: Neo4j Replication and Scaling Techniques
  • Lesson 4: Disaster Recovery and Fault Tolerance
  • Lesson 5: Automating Backups and Maintenance
Chapter 7: Advanced Neo4j Use Cases and Applications
  • Lesson 1: Fraud Detection with Neo4j
  • Lesson 2: Real-Time Recommendation Systems
  • Lesson 3: Supply Chain and Logistics Optimization
  • Lesson 4: Cybersecurity and Threat Analysis
  • Lesson 5: Knowledge Graphs and Enterprise Search
Chapter 8: Modern Features in Neo4j Releases
  • Lesson 1: Overview of New Features in Recent Neo4j Versions
  • Lesson 2: Neo4j 5.x Features and Enhancements
  • Lesson 3: Graph Data Science (GDS) Library in Neo4j
  • Lesson 4: Working with Neo4j AuraDB (Cloud Neo4j)
  • Lesson 5: Future Trends and Innovations in Graph Databases
Chapter 9: Neo4j in Real-World Applications
  • Lesson 1: Case Study: Social Media Networks
  • Lesson 2: Case Study: Healthcare and Drug Discovery
  • Lesson 3: Case Study: Financial Fraud Detection
  • Lesson 4: Case Study: Supply Chain and Logistics
  • Lesson 5: Case Study: Artificial Intelligence and Knowledge Graphs



Course Duration: about 50+10 hours


The online class is held via Skype (or Zoom or Microsoft Teams) and the cost per hour of tutoring is only $15. At the end of this long course, you will master all the required basic and advanced concepts of Neo4j Database and we will develop a real-world application (using Neo4j) together for about 10 hours, that fully prepares you to find a job as a professional developer or entry-level Database Administrator.
To book this class, message or call my telegram or WhatsApp:
+98 (912) 490-8372 or +98 (935) 490-8372
You can also send email to me:
abolfazl.mohammadijoo@gmail.com

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