Neo4j Professional Graph Database Course

Lab material for the WSQ Neo4j Professional Graph Database Course run by Tertiary Infotech Academy Pte Ltd (UEN 201200696W).

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About the course

Two days (16 hours) of hands-on graph database work. You install and configure Neo4j, learn Cypher from first principles, import real CSV data, design and refactor a graph data model, build a Python application on the official driver, and administer users, performance and backups.

Course code	TGS-2023036640
Duration	2 days · 16 hours (9:30am – 6:30pm)
Level	Beginner — no graph database experience required
Skills Framework	Database Administration (ICT-OUS-3006-1.1)
Assessment	Written Assessment (SAQ) + Practical Performance, both open book
Funding	SkillsFuture Credit, SFEC, UTAP and PSEA eligible

Learning outcomes

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

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The labs

Seventeen labs across six topics. Work through them in order — each builds on the state left by the previous one.

Topic	Labs
1 · Neo4j Fundamentals	1 Explore a graph database · 2 Install Desktop & AuraDB · 3 Load a dataset & Browser
2 · Cypher Fundamentals	4 MATCH, WHERE, RETURN · 5 MERGE, CREATE, SET · 6 Troubleshoot errors
3 · Intermediate Cypher	7 Filter, order, shape · 8 Aggregate & pipeline · 9 EXPLAIN & PROFILE
4 · Importing CSV Data	10 Data Importer · 11 LOAD CSV & constraints
5 · Graph Data Modeling	12 Model from use cases · 13 Refactor for performance · 14 Intermediate nodes & POLE
6 · Applications with Python	15 Connect with the driver · 16 Process driver results · 17 Users, monitoring, backup

Course materials

Document	File
Trainer slides	courseware/Neo4j Professional Graph Database Course-v8.0.pptx
Learner slides (PDF)	courseware/Neo4j Professional Graph Database Course-v8.0.pdf
Learner Guide	courseware/LG-Neo4j Professional Graph Database Course.pdf · Markdown
Lesson Plan	courseware/LP-Neo4j Professional Graph Database Course.pdf

Each lab is a self-contained folder — instructions in README.md, every Cypher statement in solution.cypher, plus the mock data, Python programme and shell commands that lab needs. Full step-by-step narrative is in the Learner Guide; the slides deliberately carry the concepts and the lab briefing, not the click-by-click procedure.

labs/lab-11-import-with-load-csv-constraints-and-batched-transac/
├── README.md          the lab instructions
├── setup.cypher       reset the database to a known state
├── solution.cypher    all 13 statements, runnable in order
└── data/              courses.csv · learners.csv · enrolments.csv · course-skills.csv

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Before you start

You need:

• A Windows or macOS laptop with 8 GB RAM and rights to install software
• Neo4j Desktop — the local development environment
• A free Neo4j account, which unlocks Sandbox and AuraDB Free
• Python 3.9+ with pip, for the driver labs in Topic 6
• A modern browser for Neo4j Browser and the Data Importer

# Topic 6 setup
python3 -m venv .venv && source .venv/bin/activate
pip install neo4j python-dotenv

Verify your install in Neo4j Browser:

RETURN 'Neo4j is running' AS status, datetime() AS checkedAt;
CALL dbms.components() YIELD name, versions, edition
RETURN name, versions, edition;

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Conventions used in the labs

• Cypher keywords in UPPER CASE, labels in PascalCase, relationship types in UPPER_SNAKE_CASE, property keys in camelCase
• Run a query in Neo4j Browser with Ctrl+Enter (Cmd+Enter on macOS)
• Lines starting with // are comments and are not executed
• Where a step says a query should fail, run it anyway and read the error — diagnosing these is assessed under LO2
• Several labs begin with MATCH (n) DETACH DELETE n. Only ever run that against a course database

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Continue learning

• Neo4j GraphAcademy — free courses and the Neo4j Certified Professional certification
• Cypher manual
• Sample graph datasets — including the POLE crime graph used in Lab 14
• Arrows.app — sketch a graph data model before you build it

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Related WSQ courses

• SQL Fundamental for Beginners
• Mastering NoSQL Fundamentals for Beginners
• Data Analytics and Visualization with Power BI
• Data Storytelling with Tableau

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Support

Tertiary Infotech Academy Pte Ltd · UEN 201200696W 📧 enquiry@tertiaryinfotech.com · ☎️ +65 6100 0613 🌐 www.tertiarycourses.com.sg · 🎓 LMS

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