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WSQ - Neo4j Professional Graph Database Course

WSQ - Neo4j Professional Graph Database Course

Looking to enhance your data analysis skills? Enroll in our Neo4j Professional Graph Database Course and delve into the world of graph database management. This comprehensive course equips you with the knowledge and expertise to harness the power of Neo4j, a leading graph database technology. Through interactive sessions and hands-on exercises, you'll learn advanced techniques to model, store, and query complex data relationships effectively. Gain valuable insights from real-world case studies and explore practical applications of graph databases across various industries.

Whether you're a data analyst, database administrator, or aspiring data professional, this course is designed to boost your career prospects in the rapidly evolving field of data analysis. Don't miss out on this opportunity to upskill and unlock new possibilities in your professional journey. Enjoy up to 70% WSQ funding subsidy.

Course Objectives

Monitor and maintain databases, and troubleshoot database errors faced, and ensure appropriate levels of user access to databases

Learning Outcomes

By end of the course, learners should be able to:

LO1: Perform installation, configuration and maintaining of Neo4j databases.
LO2: Troubleshoot database errors and user access issues on Neo4j databases.
LO3: Analyse performance statistics and implement regular data backup on Neo4j databases.

Course Brochure

Download WSQ - Neo4j Professional Graph Database Course Brochure

Skills Framework

This course follows the guideline of Database Administration ICT-OUS-3006-1.1 TSC under ICT Skills Framework

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.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

Disclaimer

Note that we are not affiliated with Neo4j. To get the official certification, please register your certification exam at Neo4j Official Certification Site below.

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

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$800	$72.00	$472.00	$312.00

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2023036640)

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Formand email to us.

Course Code: TGS-2023036640

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.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
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

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.

Final Assessment

Written Assessment - Short Answer Questions (WA-SAQ)
Practical Performance (PP)

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
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.
Minimum 18 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Neo4j

Hardware: Windows and Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored Trainee

Employer Sponsored Trainee

Singapore Citizens or Singapore Permanent Residents
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.

Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

SkillsFuture Credit:

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

PSEA:

To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
Scroll down to "Keyword Tags" to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.
And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
Not all courses are eligible for PSEA funding.

Absentee Payroll (AP) Funding:

$4.50 per hour, capped at $100,000 per enterprise per calendar year.
AP funding will be computed based on the actual number of training hours attended by the trainee.

SFEC:

If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
SkillsFuture Enterprise Credit (SFEC) Microsite

Steps to Apply Skills Future Claim

The staff will send you an invoice with the fee breakdown.
Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

Note

SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

The candidate has the right to disagree with the assessment decision made by the assessor.
When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
The candidate must lodge the appeal within 7 days, giving reasons for appeal
The assessor can help the candidate with writing and lodging the appeal.
he assessment manager will collect information from the candidate & assessor and give a final decision.
A record of the appeal and any subsequent actions and findings will be made.
An Assessment Appeal Panel will be formed to review and give a decision.
The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
Please click the link below to fill up the Candidates Appeal Form.

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

Yeo Hwee Theng: Yeo Hwee Theng is a data science leader and AI strategist with extensive experience in driving enterprise analytics, AI adoption, and data architecture initiatives across healthcare, finance, and government sectors. As the Data & Analytics Product Lead at Amplify Health, she leads large-scale data transformation and machine learning projects focused on improving business outcomes through data-driven decision-making. Her previous roles include AI & Data Architect at Huawei International and Senior Data Scientist at DataRobot, where she implemented advanced AI and analytics solutions across the Asia-Pacific region. She holds a Master of Technology in Enterprise Business Analytics from the National University of Singapore and an Advanced Certificate in Learning and Performance (ACLP).

In “Neo4j Professional Graph Database Course,” Hwee Theng guides participants in mastering the principles and practical applications of graph databases for complex data relationships and network analysis. Her sessions focus on using Neo4j to model, query, and visualize connected data effectively, with emphasis on applications in recommendation systems, fraud detection, and knowledge graph design. By combining her deep expertise in data architecture and AI strategy, she equips learners with the technical and analytical skills to harness graph database technology for intelligent, scalable, and data-centric solutions.

Teh Siew Yee - Teh Siew Yee is an experienced data professional and trainer specializing in databases, data modeling, and business intelligence. With a strong foundation in SQL and enterprise database systems, she has guided learners in applying modern data management tools to solve complex organizational challenges. Her expertise includes designing relational and non-relational databases, optimizing queries, and applying database solutions in analytics and reporting.

In this program, Siew Yee focuses on teaching participants how to leverage Neo4j’s graph database capabilities for real-world applications. She emphasizes the practical use of Cypher query language, graph modeling, and visualization, ensuring learners can apply graph thinking to business problems such as fraud detection, recommendation systems, and network analysis. Her structured and hands-on teaching approach enables professionals to master graph databases with confidence.

Dr. Alfred Ang - Dr. Alfred Ang is a specialist in artificial intelligence and data science with extensive experience in teaching and applied research. As Founder of Tertiary Courses Singapore, he has designed and delivered WSQ and IBF-accredited programs in Python, data analytics, machine learning, and AI for financial services. With a PhD in Computer Science, his professional expertise covers predictive modeling, natural language processing, and graph-based machine learning methods.

In this Neo4j program, Dr. Ang brings both technical expertise and practical insights, guiding learners to apply graph databases for AI and analytics-driven applications. He emphasizes the integration of Neo4j with Python and machine learning pipelines, enabling participants to explore advanced use cases such as knowledge graphs and intelligent search. His teaching combines academic rigor with applied case studies, ensuring professionals gain both conceptual clarity and practical skills.

Quah Chee Yong (QCY) - Quah Chee Yong (QCY) is a WSQ ACLP-certified trainer and data science practitioner with extensive experience in AI, NLP, and machine learning. He has served as Data Science Training Lead for SAP’s SGUnited program, delivering courses in predictive analytics, AI adoption, and data visualization. His professional experience includes building recommender systems, digital assistants, and chatbots, where graph-based approaches and knowledge representation played a key role.

In this course, QCY focuses on making graph databases accessible to learners through hands-on training with Neo4j. He demonstrates how to use Cypher queries to model relationships, analyze data networks, and extract insights from connected data. By bridging theoretical foundations with applied problem-solving, he equips participants to implement Neo4j solutions that enhance business intelligence, analytics, and AI-driven innovation.