Course Details
Course Details
What You'll Learn
Topic 1 Neo4j Fundamentals
Basic graph theory and the elements that make a graph
Graph structures
Common graph database use cases
Elements of a Neo4j graph database
How Neo4j implements index-free-adjacency
The Movie graph’s data model and data
Topic 2 Cypher Fundamentals
Reading Data from Neo4j
Introduction to Cypher
Retrieving Nodes
Finding Relationships
Traversing Relationships
Filtering Queries
Writing Data to Neo4j
Creating Nodes
Creating a Node
Creating Relationships
Updating Properties
Adding Properties to a Movie
Merge Processing
Deleting Data
Topic 3 Importing CSV Data into Neo4j
Preparing for importing data
Using the Neo4j Data Importer
Post-processing for imported data
Using Cypher to import data
Topic 4 Graph Data Modeling Fundamentals
What is a graph data model?
Modeling nodes and creating nodes for an instance model.
Modeling relationships and creating relationships for an instance model.
Testing the graph data model.
Why refactor a graph data model and how labels help.
Eliminating duplicate data in the graph.
Using specific relationship types.
Adding intermediate nodes.
Topic 5 Intermediate Cypher Queries
Filtering queries
Controlling results returned
Working with Cypher data
Graph traversal
Pipelining queries
Subqueries
Using parameters
Topic 6 Neo4j Graph Data Science
Basics for how Neo4j GDS works to enable analytics
How to install GDS and the different licensing options
Graph projection patterns
Topic 7 Neo4j Applications with Python
The lifecycle of the Neo4j Driver and how it relates to your application
How to install and instantiate the Neo4j Python Driver to your Python project
How read and write transactions work with Neo4j
Best practices on how to use Neo4j within your Python project.
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- Database Administrator (specializing in graph databases)
- Data Scientist (working with graph data)
- Neo4j Developer
- Graph Database Consultant
- Data Engineer (focusing on graph technologies)
- Data Architect (implementing graph solutions)
- Backend Developer (integrating graph databases)
- Graph Data Analyst
- Machine Learning Engineer (using graph-based algorithms)
- Data Integration Specialist (for graph databases)
- Recommendation System Developer
- Research Scientist (working on graph theory)
- Social Network Analyst
- Fraud Detection Specialist (using graph patterns)
- Bioinformatics Researcher (using graph databases).