Course Details
Course Details
What You'll Learn
Topic 1: Explore Core Data Concepts
Data formats
File storage
Transactional data processing
Analytical data processing
Data roles and services
Job roles in the world of data
Data services
Topic 2: Explore Relational Data in Azure
Overview of relational data
Normalization
Explore SQL
Describe database objects
Explore relational database services in Azure
Azure SQL services and capabilities
Azure services for open-source databases
Topic 3: Explore Non-Relational Data in Azure
Azure blob storage
Azure DataLake Storage Gen2
Azure Files
Azure Tables
Azure Cosmos DB
Topic 4: Explore Data Analytics in Azure
Large-scale data warehousing
Data ingestion pipelines
Analytical data stores
Fundamentals of real-time analytics
Batch and stream processing
Common elements of stream processing architecture
Azure Stream Analytics
Apache Spark on Microsoft Azure
Overview of Data visualization
Power BI tools and workflow
Overview of data modeling
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.
Target Year Group : 21-65 years old
Minimum Software/Hardware Requirement
Software:
You will need the following for this course:
- A free Microsoft Azure account – a credit card is required for identity verification
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-2023036641.
- 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
- Data Engineer on Azure
- Azure Database Administrator
- Data Scientist (using Azure tools)
- Business Intelligence Developer on Azure
- Azure Data Solutions Architect
- Data Analytics Specialist on Azure
- Database Developer (migrating to Azure)
- Big Data Specialist on Azure
- Machine Learning Engineer (utilizing Azure data services)
- Data Warehouse Architect on Azure
- IT Professionals (seeking data specialization on Azure)
- Cloud Data Consultant
- ETL Developer on Azure
- Azure Data Lake Specialist
- Data Migration Specialist on Azure.
Trainers
Trainers
Alec Tan is a data and cloud professional with strong expertise in Microsoft Azure services, data modeling, and business analytics. With a career spanning IT consulting and training, Alec has delivered courses on data fundamentals, database design, and cloud-based analytics solutions to learners across industries. His proficiency in Azure SQL, Cosmos DB, and data visualization tools enables him to provide both foundational and applied knowledge for cloud data management.
As a trainer, Alec focuses on bridging theory with hands-on exercises in Azure. In this course, he guides participants through key DP-900 domains, including relational and non-relational data, modern data warehousing, and big data solutions. His approach ensures learners not only understand Azure data concepts but also develop job-ready skills to support cloud-based data initiatives in their organizations.
Kishan Raaj is an IT trainer and consultant specializing in cloud computing, data fundamentals, and workplace digital transformation. With a strong background in delivering SkillsFuture-accredited programs, he has trained professionals in Microsoft Azure, Power BI, and Python programming. His teaching is recognized for making technical concepts approachable to learners of all levels, from beginners to working professionals transitioning into cloud data roles.
In Azure Data Fundamentals training, Kishan emphasizes practical learning through guided labs and case-based applications. He equips participants with the ability to differentiate relational vs. non-relational data, understand Azure storage solutions, and explore analytics workflows. His learner-first approach ensures participants gain confidence in applying DP-900 skills in both technical and business environments.
Quah Chee Yong (QCY) is a WSQ ACLP-certified trainer and data science practitioner with strong expertise in machine learning, NLP, and AI adoption. He has led training programs under SAP’s SGUnited initiative and Sustainable Living Lab, covering predictive analytics, data visualization, and cloud-based AI services. His industry experience includes building recommender systems, chatbots, and data-driven business applications, giving him deep insights into applied data workflows.
In this program, QCY focuses on simplifying Azure data concepts for learners through structured, hands-on practice. He covers DP-900 core topics such as relational and non-relational data services, modern data warehousing, and analytics pipelines on Azure. His ability to integrate data science use cases with cloud technologies ensures participants gain both technical knowledge and practical perspectives in cloud data management.
Truman Ng is a highly certified ICT and infrastructure professional with more than 20 years of experience in networking, cybersecurity, and IT systems. Holding global certifications such as PMP®, HCIE®, and ACTA, Truman has trained professionals in Linux, DevOps, RPA, and cloud computing, equipping them with the technical and operational skills to manage enterprise IT environments. His career spans hands-on deployment of IT infrastructure and delivery of advanced professional training programs.
In Azure Data Fundamentals training, Truman emphasizes the integration of cloud infrastructure with data management and analytics. He guides learners through DP-900 domains such as Azure relational databases, Cosmos DB, and analytics workloads, ensuring participants understand how to manage and process data securely in the cloud. His practical, infrastructure-focused approach equips learners to apply DP-900 skills in enterprise environments confidently.
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- Will Recommend Review by Course Participant/Trainee
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May be allocate more time for hand-on. (Posted on 8/7/2019)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 - Will Recommend Review by Course Participant/Trainee
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More practical examples (Posted on 8/7/2019)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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