Knowledge Graph Solutions using Neo4j

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[img]https://i.imgur.com/6ZmuVc8.png[/img]
[b]Knowledge Graph Solutions using Neo4j[/b]
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHzLanguage: English | Size: 1.5 GB | Duration: 34 lectures 3h 22m
What you'll learn
You will be able to understand and document the use case for knowledge graph solutions
You will be able to setup Neo4J environment and will be able to design / extract data from Knowledge Graph data sources.

You will be able to develop queries using its Cypher query development language
You will be able to prototype a graph analytics experience and document your understanding on Knowledge Graph Insights using a class assignment
You will gain knowledge of advanced Knowledge Graph topics including Knowledge Graph tools and technologies, Bloom Visualization, GDS and related topics
You will learn Knowledge Graph Solutions from experienced professionals and can earn CPE credits and completion certificate!
Requirements
There is no specific requirements or pre-requisites needed for this course
Description
" Build Knowledge Graph solutions using Neo4j" is our 4th course in Knowledge Graph series. Earlier courses were designed to provide benefit case and designing various analytics associated with Graph solutions. We had also defined various level of knowledge Graph maturity levels.
This course is designed to help you strategize knowledge graph use cases and help you build or prototype a use case for your knowledge graph engagement. This is an intermediate level course, specifically designed to teach you how to build Knowledge Graph solutions using Neo4j.
This course includes
How to define Knowledge Graph Use Case
How to set up Sandbox using Neo4j for your Knowledge Graph use case
How to develop and execute graph queries using Cypher query language
How to prototype a graph analytics experience and document your understanding on Knowledge Graph Insights using a class assignment
How to extend your knowledge graph solutions using various data science libraries provided by Neo4j as well as external libraries
You will be introduced to many advanced features of Neo4j and Knowledge Graph including Bloom Visualization Tool, Graph data science libraries, Importing ontologies using neosemantics and integration with data science packages using Python.
You will learn how to connect your graph solution with other solution components using Python
And finally, you can earn CPE credits and completion certificate!
Who this course is for
Management, strategy and business analyst professionals
Architects, technical leads and system analysts from IT organization
Senior year undergraduate and graduate students in Business, Analytics, and IT
Vendors, consultants and service providers for Graph Analytics

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