Learn Neo4j Database and Graph Algorithms
Learn Neo4j Database and Graph Algorithms, available at $44.99, has an average rating of 3.4, with 44 lectures, 2 quizzes, based on 41 reviews, and has 313 subscribers.
You will learn about Understand the science of graph theory, databases, and its advantages over traditional databases Install Neo4j and learn the most common practices of traversing data Understand the problems while working with nodes and with large graphs of information Learn proper skills for data modelling and querying capabilities of graph databases Understand why relational databases are replaced by graph databases Learn Cypher Query Language that can be used for modifying, creating, and deleting data Use Neo4j graph algorithms library with your real data Solve routing problems by finding paths inside a connected graph Create a group of nodes sharing common properties, aka communities Build a recommendation system using similarity measurement between nodes This course is ideal for individuals who are This course is for developers, web developers and aspiring data scientists who are new to graph analytics and who wish to use the power of Neo4j for their data in their applications. It is particularly useful for This course is for developers, web developers and aspiring data scientists who are new to graph analytics and who wish to use the power of Neo4j for their data in their applications.
Enroll now: Learn Neo4j Database and Graph Algorithms
Summary
Title: Learn Neo4j Database and Graph Algorithms
Price: $44.99
Average Rating: 3.4
Number of Lectures: 44
Number of Quizzes: 2
Number of Published Lectures: 44
Number of Published Quizzes: 2
Number of Curriculum Items: 46
Number of Published Curriculum Objects: 46
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand the science of graph theory, databases, and its advantages over traditional databases
- Install Neo4j and learn the most common practices of traversing data
- Understand the problems while working with nodes and with large graphs of information
- Learn proper skills for data modelling and querying capabilities of graph databases
- Understand why relational databases are replaced by graph databases
- Learn Cypher Query Language that can be used for modifying, creating, and deleting data
- Use Neo4j graph algorithms library with your real data
- Solve routing problems by finding paths inside a connected graph
- Create a group of nodes sharing common properties, aka communities
- Build a recommendation system using similarity measurement between nodes
Who Should Attend
- This course is for developers, web developers and aspiring data scientists who are new to graph analytics and who wish to use the power of Neo4j for their data in their applications.
Target Audiences
- This course is for developers, web developers and aspiring data scientists who are new to graph analytics and who wish to use the power of Neo4j for their data in their applications.
With increase in complexity of data relationships, graph databases are quickly becoming the de-facto standard for organizations who manage large volumes of connected data. Neo4j is a graph database that allows traversing huge amounts of data with ease. It is the world’s leading graph database management system which is designed for optimizing fast management, storage, and traversal of nodes and relationships.
Starting with a brief introduction to graph theory, this course will show you the advantages of using graph databases along with data modelling techniques for graph databases. You will gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j’s Cypher query language. You will learn to use it for artificial intelligence, fraud detection, graph-based search, network ops & security, and many other use cases.
Furthermore, you will learn the important graph algorithms which are used in Neo4j’s graph analytics platform wherein you will explore various high-performance graph algorithms that help reveal hidden patterns and structures in your connected data. You will also gain skills to use the algorithms efficiently to understand, model, and predict complicated dynamics.
By the end of this course, you will be confident using graph analytics with Neo4j to effectively handle large volume of connected data and to use its quick insights to wield powerful results.
Meet Your Expert(s):
We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:
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Shehzad Ahmed is an enthusiast software engineer having a great grip and hands-on experience with multiple programming languages i.e. C/C++ Java and C#.NET, JS, PHP. He has worked on web and mobile development with various APIs and open source libraries. Currently, he is working as a Magento 2 E-commerce developer at fmeextension. Besides that, he is also a freelancer on Fiverr since the last 2 years and has completed over 200 projects with 4.9/5.0 rating and has worked on Neo4j extensively.
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Estelle Scifo has more than 7 years of work experience as a data scientist. As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. Besides that, she is also a data science mentor to guide newcomers into the field. The domain expertise and the beginner’s mind make her an excellent teacher.
Course Curriculum
Chapter 1: Learning Neo4j 3.x
Lecture 1: Course Overview
Lecture 2: Basics of Neo4j 3.x
Lecture 3: System Requirements
Lecture 4: Setting up Neo4j Desktop
Lecture 5: Relational DBs VS Graph DBs
Lecture 6: Creating Nodes in Neo4j
Lecture 7: Creating Relationships between Nodes
Lecture 8: Working with Bank Management System
Lecture 9: Working with Merge Clause
Lecture 10: Working with WRITE Clauses
Lecture 11: Working with READ Clause
Lecture 12: Optimizing Clauses and Queries
Lecture 13: Understanding String Functions
Lecture 14: Understanding Mathematical Functions
Lecture 15: Writing user-defined Functions
Lecture 16: Writing Integration Tests for User-defined function
Lecture 17: Implementing the Functions in Project
Lecture 18: Understanding Neo4j Admin Panel
Lecture 19: Working with Database Backup
Lecture 20: Useful Commands and Keyboard Shortcuts
Lecture 21: Query and Command Line Tips
Lecture 22: Adding Constraints to our Project
Lecture 23: What could be next?
Lecture 24: Summarizing the Course
Chapter 2: Exploring Graph Algorithms with Neo4j
Lecture 1: The Course Overview
Lecture 2: Real-World Examples of Graph Algorithms Applications
Lecture 3: Graph Properties
Lecture 4: Library Installation
Lecture 5: The Shortest Path Algorithm
Lecture 6: More about Graph Algorithms Library Principles
Lecture 7: Find Shortest Path Between Two Stations
Lecture 8: Alternative Algorithms
Lecture 9: Finding Alternative Routes
Lecture 10: Centrality Detection Principles
Lecture 11: The PageRank Algorithm
Lecture 12: A Comparison of Other Centrality Detection Algorithm
Lecture 13: Influencer Detection
Lecture 14: Algorithms Strength and Differences
Lecture 15: Building a Real-Time Recommendation Engine
Lecture 16: Community-Based Recommendations
Lecture 17: Using Similarity Measures
Lecture 18: Link Prediction in Neo4j
Lecture 19: Machine Learning on Graphs
Lecture 20: Conclusions and Perspectives
Instructors
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Packt Publishing
Tech Knowledge in Motion
Rating Distribution
- 1 stars: 6 votes
- 2 stars: 2 votes
- 3 stars: 10 votes
- 4 stars: 11 votes
- 5 stars: 12 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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