NEO4J

GRAPH DATA SCIENCE

Explore graph data modeling using Neo4j. Learn Cypher queries, analyze complex relationships, and build data-driven solutions .

Course Duration: ( 3 – 4 Months )

Start Learning at  ₹ 11000
A concise look at what you’ll learn and achieve.

Course Overview

NEO4J – Introduces you to the fundamentals of graph databases using Neo4j, a leading native graph database platform. You’ll explore how to model, store, and query data in a graph format, enabling deep insights and relationships that traditional databases cannot easily provide. Throughout the course, you’ll gain hands-on experience building graph data models, writing Cypher queries, and applying graph thinking to real-world scenarios. Whether you’re new to databases or an experienced developer looking to explore the power of connected data, this course equips you with practical skills to harness Neo4j for data analysis, recommendation systems, and network visualization.

Key takeaways and features crafted for learner success.

What You’ll Get ?

Learning Neo4j architecture basics

Building real-world graph models

Crafting advanced Cypher statements

Building recommendation engine models

Mapping complex data visually

Course content

Module 1: Introduction to Graph Thinking

Understand the need for graph databases, how they differ from relational models, and where they excel in representing connected data such as social networks, logistics systems, or recommendations.

Module 2: Understanding Nodes and Relationships

Learn how to model real-world entities as nodes and their connections as relationships. Build a strong foundation to structure meaningful, Queryable data within a graph context.

Module 3: Cypher Query Basics

Write basic Cypher queries to retrieve and manipulate data in Neo4j. Understand match patterns, return statements, filtering, and sorting within a connected dataset using graph logic.

Module 4: Building Graph Models

Discover techniques to transform raw or structured data into effective graph models. Learn to create reusable, scalable, and intuitive data structures aligned with your application’s purpose.

Module 5: Exploring Data Patterns

Use Cypher to identify and extract data patterns. Analyze paths, depth, and filtering logic to discover trends and connections hidden within complex datasets.

Module 6: Guided Graph Projects

Apply your knowledge through simple, guided projects like creating a movie database, friend network, or mini recommendation system using real data in a structured, hands-on format.

Module 7: Final Project – Graph-Driven Insights

Explore how Neo4j powers real-world applications such as fraud detection, logistics, healthcare, and knowledge graphs, linking course concepts to impactful, industry-based problem solving.

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