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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).
Trainers
Trainers
is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies
Review
Customer Reviews (7)
- Knowledgeable trainer Review by Course Participant/Trainee
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I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 8/22/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Knowledgeable trainer Review by Course Participant/Trainee
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Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 1/19/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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