Database Intermediate Premium

Graph Database Modeling and Neo4j Applications Virtual Internship

In this virtual internship, students will explore the power of graph databases for modeling and analyzing connected data. They will learn how to design and implement graph data models using Neo4j, a leading open-source graph database platform. Through hands-on projects, students will build applications that leverage the unique capabilities of graph databases to solve complex problems, such as social network analysis, recommendation systems, and fraud detection. Upon completion, students will be equipped with the skills to pursue careers as graph database engineers, data analysts, or application developers working with connected data.

weeks
7 tasks
0 enrolled
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Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Exploring the Neo4j Sandbox

Beginner

In this task, students will get hands-on experience with the Neo4j Sandbox, a web-based environment for exploring and experimenting with graph databases.

3 hours

Comparing Graph Databases and Relational Databases

Intermediate

In this task, students will explore the key differences between graph databases and relational databases, and analyze the use cases where each approach is more suitable.

5 hours

Modeling a Social Network Graph

Intermediate

In this task, students will design and implement a graph data model to represent a social network, including users, their relationships, and various user activities.

8 hours

Modeling a Recommendation System Graph

Intermediate

In this task, students will design and implement a graph data model to power a recommendation system, leveraging the unique capabilities of graph databases.

10 hours

Building a Fraud Detection Application

Advanced

In this task, students will develop a fraud detection application using Neo4j to model and analyze complex financial transaction data.

15 hours

Implementing a Recommendation System with Neo4j

Advanced

In this task, students will build a recommendation system application using Neo4j to provide personalized product or content recommendations.

20 hours

Capstone Project: Graph-Powered Application Development

Advanced

In this final task, students will develop a comprehensive, graph-powered application to solve a real-world problem of their choice.

40 hours

Prerequisites

  • • Basic understanding of database concepts
  • • Familiarity with SQL and data manipulation

Certificate

Certificate of Completion

Earn a certificate upon successful completion