Knowledge Graph Solutions using Neo4j

Knowledge Graph Solutions using Neo4j, available at $49.99, has an average rating of 4.3, with 35 lectures, 16 quizzes, based on 24 reviews, and has 205 subscribers.

You will learn about 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! This course is ideal for individuals who are Management, strategy and business analyst professionals or Architects, technical leads and system analysts from IT organization or Senior year undergraduate and graduate students in Business, Analytics, and IT or Vendors, consultants and service providers for Graph Analytics It is particularly useful for Management, strategy and business analyst professionals or Architects, technical leads and system analysts from IT organization or Senior year undergraduate and graduate students in Business, Analytics, and IT or Vendors, consultants and service providers for Graph Analytics.

Enroll now: Knowledge Graph Solutions using Neo4j

Summary

Title: Knowledge Graph Solutions using Neo4j

Price: $49.99

Average Rating: 4.3

Number of Lectures: 35

Number of Quizzes: 16

Number of Published Lectures: 35

Number of Published Quizzes: 16

Number of Curriculum Items: 51

Number of Published Curriculum Objects: 51

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will 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!

Who Should Attend

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

Target Audiences

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

” 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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Preview

Lecture 2: Overview

Lecture 3: Course Objectives

Lecture 4: Course Outline

Lecture 5: Instructors' Bio

Chapter 2: Knowledge Graph Overview

Lecture 1: Knowledge Graph Overview

Lecture 2: Movie Recommendation Problem

Lecture 3: Knowledge Graph – Definitions

Lecture 4: Knowledge Graph – Features and Capabilities

Lecture 5: Neo4j – Quick Demonstartion

Lecture 6: Summary

Chapter 3: Setup

Lecture 1: User Scenario

Lecture 2: Sandbox Setup

Lecture 3: Initial Graph Setup

Lecture 4: Exercises

Lecture 5: Summary

Chapter 4: Graph Basics

Lecture 1: Identification of Graph Queries

Lecture 2: Identification of Data Sources

Lecture 3: Starting your project in Neo4j

Lecture 4: Graph Nodes Setup

Lecture 5: Graph Relationship Setup

Lecture 6: Exercise 1

Lecture 7: Exercise 2

Lecture 8: Summary

Chapter 5: Graph Advanced

Lecture 1: Neo4j Knowledge Graph Libraries – Overview

Lecture 2: Neo4j – APOC libraries

Lecture 3: n10s – Neosemantics

Lecture 4: Neo4j – Graph data science (GDS) library

Lecture 5: Graph Visualization using Bloom

Lecture 6: Neo4j – Integration with Python

Lecture 7: Summary

Chapter 6: Wrap up

Lecture 1: Key Takeaways

Lecture 2: Additional Reference Material

Lecture 3: Congratulations

Lecture 4: Bonus Lecture

Instructors

Neena Sathi
Principal, Applied AI Institute

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 4 votes
4 stars: 6 votes
5 stars: 11 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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