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.
Assessment
- Written Exam
- Practical Exam
Course Info
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 will need the following for this course:
- Neo4j Desktop – free
Hardware: Windows PC or Mac laptop
Funding Eligibility Criteria
Self-sponsored learners (individuals)
- Singapore Citizens and Singapore Permanent Residents aged 21 and above.
- Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
- Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.
Company-sponsored learners
- Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
- Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
- Employers can also claim Absentee Payroll funding for employees who attend during working hours.
- Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).
Conditions for all funded learners
- Attendance is taken digitally with Singpass for every session, including the assessment.
- You must complete the course and pass all assessments (assessed as Competent).
- If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
- 9% GST is charged on the full course fee before funding.
- Promo and discount codes cannot be used on funded courses.
- Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA), or partly reimbursed by UTAP for NTUC members.
How to Apply SkillsFuture Credit Claim for Individuals
Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.
- Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
- We email you an invoice showing the course fee after funding.
- From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
- Click Submit a Claim and search for this course by its course code, TGS-2023036640.
- Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
- Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.
Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.
How to Apply SkillsFuture Enterprise Credit (SFEC)
SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.
Current SFEC: classes ending on or before 30 November 2026
- Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
- SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
- Check your company's SFEC eligibility and balance on EnterpriseSG.
- Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
- Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
- No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.
Any unused balance of the current SFEC expires on 30 November 2026.
Redesigned SFEC from 1 December 2026
Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.
How to Apply UTAP (NTUC Members)
NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.
Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.
- Make sure your NTUC membership is paid up before the course starts.
- Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
- Attend at least 75% of the course and sit all assessments.
- Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
- Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
- NTUC usually pays the claim within 4 weeks of submission.
Read more in our UTAP guide.
How to Apply PSEA
Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.
- Check that this course shows the PSEA tag on its MySkillsFuture page.
- Check your PSEA balance on MOE's Student Finance System with Singpass.
- Download and complete the PSEA withdrawal form, then submit it to us.
- We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
- MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.
More details: MOE PSEA overview.
Appeal Process
If you disagree with an assessment decision, you have the right to appeal.
- When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
- Discuss the decision with the assessor or the assessment manager first.
- If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
- Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
- An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
- You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.
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
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) 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.
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