Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner to Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

Additional Information

Duration

2 months (Full Time)

Assessment

3 hours online assessment after each module

Class (No of teacher : student): 1:20

Intake

  • 3 Nov 2025 to 29 Sep 2026
  • 4 May 2026 to 26 June 2026
  • 2 Jan 2026 to 2 Mar 2026
  • 2 Mar 2026 to 27 Apr 2026

Enrolment Requirement

  • Age: 21 years old and above
  • Language Proficiency: At least C6 for GCE "O" Level English
  • Academic: At least C6 for GCE "O" Level in any 3 subjects

Graduation Requirement

  • Attendance: 75%
  • Assessment: Passed

Neo4j Certified Professional Training

Course Code: C631

What's This Course About

Dive into the world of Neo4j and get a comprehensive understanding of its fundamentals. From basic graph theory and graph structures to Cypher fundamentals, our course covers every essential aspect. Learn how Neo4j implements index-free-adjacency and understand the intricacies of reading and writing data to Neo4j. Embrace the power of graph data modeling, understanding nodes, relationships, and the significance of graph data models.

Expand your knowledge with intermediate topics like Neo4j Database Administration and data importing techniques. Grasp the nuances of Neo4j Graph Data Science, discover the synergy between Neo4j and Python, and prepare effectively for the Neo4j Certified Professional Exam. Enrich your skillset and become a proficient user of Neo4j with Tertiary Courses.

Certification Exam

Once you are prepared for the exam, you can register for the certification here. We are Authorised Pearson Vue Testing Center. You can take the certification exam at our test center. Note that the course fee does not include the certification exam fee.

WSQ Funding

Full Fee $700.00 Before GST
GST $63.00 9% of fee
Baseline Nett $413.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $273.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Neo4j Professional Graph Database Course

Course Fee

$700.00 (GST-exclusive)
$763.00 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

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

Teh Siew Yee: Teh Siew Yee is a seasoned leader in data science and digital transformation, with over 20 years of experience driving organisational strategy, talent development, and the design of data ecosystems across Asia Pacific and global markets. He has successfully led cross-geographical teams and collaborated with industry leaders from the US, UK, China, India, Japan, South Korea, Australia, and beyond, focusing on leveraging data to achieve business objectives and optimize operations. With expertise spanning predictive modeling, machine learning, deep learning, and IoT, he has hands-on experience in data architecture, engineering, and analytics. He has also developed comprehensive training programs, equipping all levels of an organisation— from C-suite to working-level employees— with the skills needed for digital transformation. His industry experience covers sectors such as tech, education, finance, aerospace, and eCommerce, making him a sought-after expert in data-driven business strategy. Quah Chee Yong: Quah Chee Yong is a ACTA trainer. Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industries A firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners.

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