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Neo4j

Learn Neo4j from scratch and build intelligent, connected data-driven applications using the power of graph databases.
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Course Duration: 10 Hours
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Neo4j – Master Graph Databases and Cypher Query Language – Online Course
 
Neo4j is the world's leading native graph database, purpose-built to manage and query highly connected data. This course—Neo4j: Master Graph Databases and Cypher Query Language—is designed to take you from beginner to expert in managing data relationships with graph models. Whether you are a developer, data scientist, analyst, or database administrator, this course will help you master the Cypher query language, build complex data relationships, and solve real-world data challenges that traditional databases can't handle efficiently.
 
In today’s data-centric world, understanding how entities relate to one another is just as important as understanding the entities themselves. Traditional relational databases (RDBMS) struggle when it comes to querying deeply nested or dynamic relationships—think social networks, fraud detection, recommendation engines, or supply chains. This is where Neo4j shines.
 
Neo4j is unique because it treats relationships as first-class citizens, meaning every connection in the data is explicitly stored, navigable, and optimized for speed. Its property graph model allows you to store both data and metadata about the data, enabling more flexible and faster analysis. With its declarative query language Cypher, Neo4j enables users to express complex graph patterns in a readable and concise manner.
 
This course begins by introducing you to the concept of graph theory and how it maps to Neo4j’s data model. From there, you’ll learn to set up your development environment, install and run Neo4j locally and on the cloud, and build graph-based solutions using real-world datasets. You'll gain hands-on experience through interactive exercises and projects such as building recommendation engines, social networks, knowledge graphs, and access control systems.
 
Unlike SQL, where joins across multiple tables become a performance bottleneck, Neo4j’s native graph architecture allows for constant-time traversal, making it a superior choice for connected data. By using graph queries, you can find fraud rings, trace root causes in IT networks, recommend friends or products, and analyze organizational hierarchies—all in milliseconds.
 
Neo4j is used by Fortune 500 companies and startups alike, across industries including finance, e-commerce, healthcare, and logistics. With graph databases rapidly gaining popularity, mastering Neo4j is a strategic advantage for data professionals and developers aiming to solve next-generation data problems.
 
What Makes This Course Unique
  • Beginner-friendly: No prior knowledge of graph theory or databases required.
  • Hands-on labs: Learn by doing using Neo4j Browser, Bloom, and AuraDB.
  • Real-world projects: Build your own recommendation engine, fraud detection pipeline, and social network analysis.
  • Industry alignment: Prepares you for Neo4j Certified Professional exam.
  • Multi-role perspective: Learn Neo4j from the point of view of analysts, engineers, and data scientists.
Whether you are transitioning from relational databases or starting fresh in the world of graphs, this course provides the complete foundation and practical experience needed to model, store, query, and visualize connected data with confidence.

Course Objectives Back to Top

By the end of this course, you will be able to:

  1. Understand the fundamental concepts of graph databases and their advantages over traditional relational and NoSQL databases.
  2. Install, configure, and manage Neo4j instances, including both desktop and server environments.
  3. Master the Cypher Query Language for creating, reading, updating, and deleting (CRUD) graph data.
  4. Design and implement effective graph data models using nodes, relationships, properties, and labels.
  5. Perform complex data traversals and pattern matching using Cypher's powerful query capabilities.
  6. Utilize advanced Cypher clauses such as MATCH, WHERE, CREATE, MERGE, SET, DELETE, REMOVE, RETURN, WITH, UNWIND, and aggregation functions.
  7. Import and export data into and out of Neo4j using various methods, including LOAD CSV.
  8. Optimize Cypher queries for performance and understand query execution plans.
  9. Integrate Neo4j with popular programming languages (e.g., Python, Java) using official drivers.
  10. Apply best practices for building scalable and efficient graph applications.
  11. Troubleshoot common issues in Neo4j and Cypher query development.
  12. Leverage Neo4j for real-world use cases such as recommendation engines, fraud detection, social networks, and knowledge graphs.
Course Syllabus Back to Top
Neo4j Course Syllabus
Module 1: Introduction to Graph Databases
  • What is a graph database?
  • Relational vs Graph databases
  • Neo4j architecture and use cases
Module 2: Installing and Setting Up Neo4j
  • Neo4j Desktop & AuraDB
  • Cloud deployment options
  • Introduction to Neo4j Browser and Neo4j Bloom
Module 3: Graph Data Modeling
  • Nodes, Relationships, Properties
  • Data modeling best practices
  • Graph schema design
Module 4: Introduction to Cypher Query Language
  • CREATE, MATCH, RETURN
  • Filtering with WHERE
  • Aliases and pattern matching
Module 5: Intermediate Cypher
  • Aggregation and ordering
  • Working with collections and lists
  • Merging and updating nodes
Module 6: Advanced Cypher and Performance
  • Subqueries and path traversal
  • Indexes and constraints
  • Query tuning and profiling
Module 7: Importing and Exporting Data
  • CSV import
  • Using APOC procedures
  • Connecting Neo4j with Python and JavaScript
Module 8: Security and Access Control
  • Role-based access
  • Authentication & authorization
  • Data masking and user auditing
Module 9: Real-World Projects
  • Recommendation system
  • Fraud detection graph
  • Network analysis
Module 10: Visualization and Tools
  • Neo4j Bloom and Graph Apps
  • Integrating with BI tools
  • Building dashboards
Certification Back to Top
Upon successful completion of the course, learners will receive a Certificate of Completion from Uplatz, validating their skills in Neo4j graph database technology and Cypher query language. This certification provides proof of your ability to handle connected data structures, perform complex queries efficiently, and design intelligent applications powered by Neo4j. It also positions you to pursue the Neo4j Certified Professional credential and boosts your credibility in technical interviews and freelance gigs focused on data architecture and analytics.
Career & Jobs Back to Top
Graph databases are becoming essential tools in the data tech stack of modern enterprises. Completing this course opens doors to job opportunities in:
  • Graph Data Engineer
  • Neo4j Developer
  • Data Scientist (Graph Analytics)
  • Fraud Analyst
  • Knowledge Graph Specialist
Industries like finance, social media, telecom, e-commerce, and health tech actively seek professionals skilled in Neo4j for roles in fraud detection, network security, knowledge management, and personalization engines. Mastering Neo4j not only sets you apart in a competitive job market but also equips you to build the future of connected data systems.
Interview Questions Back to Top
1. What is Neo4j?
Neo4j is a native graph database designed to store, manage, and query data based on its relationships, using a property graph model.
 
2. What is Cypher in Neo4j?
Cypher is Neo4j’s declarative query language, similar to SQL but optimized for expressing graph traversal and pattern matching.
 
3. How does Neo4j differ from relational databases?
Unlike relational databases, which use tables and joins, Neo4j uses nodes and relationships, allowing for more efficient queries over connected data.
 
4. What is a node in Neo4j?
A node is a fundamental unit of data in Neo4j, representing entities such as people, products, or locations.
 
5. What are relationships in Neo4j?
Relationships define how nodes are connected and always have a direction, a type, and optional properties.
 
6. How do you create a node in Cypher?
You can use the CREATE clause: CREATE (p:Person {name: 'John', age: 30}).
 
7. What is the MATCH clause used for?
MATCH is used to search for patterns in the graph and is analogous to SELECT in SQL.
 
8. How does Neo4j ensure performance at scale?
Neo4j uses index-free adjacency and optimized storage to enable fast graph traversals, regardless of the graph size.
 
9. Can Neo4j be integrated with programming languages?
Yes, it can be used with Python, Java, JavaScript, and more using official drivers and third-party libraries.
 
10. What are some use cases of Neo4j?
Popular use cases include recommendation engines, fraud detection, network analysis, knowledge graphs, and identity access management.
 
 
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