Knowledge Graph Solutions using Neo4j

🎓 Course Title: Knowledge Graph Solutions using Neo4j

🚀 Course Headline: Setup, Design, and Build Knowledge Graph Solutions using Neo4j and Data Science Libraries

Unlock the Power of Data with Neo4j! 🔍

"Build Knowledge Graph solutions using Neo4j" is our 4th course in the comprehensive Knowledge Graph series. This series has been meticulously crafted to provide a compelling benefit case, guide you through the nuances of designing various analytics associated with Graph solutions, and define different maturity levels of knowledge graphs.

Who Should Attend?

• Data Scientists 📊
• Analysts 🧐
• Business Intelligence Professionals 💡
• Software Developers 🛠️
• And anyone looking to leverage the power of Neo4j in building Knowledge Graphs!

Course Overview: This intermediate-level course is meticulously designed to teach you how to strategize knowledge graph use cases and bring your knowledge graph engagement to life by either building or prototyping a use case. 🛠️✨

What You'll Learn: 🚀 Course Highlights:

• Define Knowledge Graph Use Case: Learn how to articulate and structure a knowledge graph use case relevant to your needs.
• Set Up Sandbox Using Neo4j: Get hands-on experience with setting up a sandbox environment for your knowledge graph use case.
• Develop & Execute Graph Queries: Master the Cypher query language to develop and execute complex graph queries.
• Prototype Graph Analytics Experience: Create a prototype of a graph analytics experience, complete with documentation on Knowledge Graph Insights.
• Extend Your Solutions: Explore how to extend your knowledge graph solutions using data science libraries available in Neo4j and beyond.

🔍 Advanced Features & Tools You'll Discover:

• Bloom Visualization Tool: Gain insights into your data with the Bloom visualization tool.
• Graph Data Science Libraries: Utilize advanced graph analytics libraries provided by Neo4j.
• Importing Ontologies Using neosemantics: Learn how to import ontologies and leverage semantic knowledge within your graphs.
• Integration with Data Science Packages Using Python: Connect your graph solutions with other solution components using Python scripts and packages.

Engagement & Certification:

• Hands-On Assignments: Engage with practical, class assignments that will help you solidify your understanding of knowledge graphs.
• Earn CPE Credits: Take your expertise to the next level and earn Continuing Professional Education (CPE) credits in the process.
• Completion Certificate: Upon successful completion of the course, receive a completion certificate to acknowledge your newfound skills!

Join us on this journey to master Knowledge Graphs with Neo4j and elevate your data science capabilities to the next level! 🌟📊

Enroll Now and Transform Your Data into Knowledge! 🚀💻