Course Information

  • Sessions 2 days
  • Duration 16 hrs
  • Level Beginner
  • Assessment 2 hrs

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.

Skills Framework

TSC Title
Data Engineering
TSC Code
ICT-DIT-3005-1.1

Funding Validity

Funding for this course is valid from 18 Aug 2023 to 17 Aug 2027. Register and complete the course within this period to qualify for funding support.

Learning Outcomes

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

  • LO1: Identify relevant data sources and propose methods to process data considering data specifications and requirements.
  • LO2: Operate data warehouse systems and create supporting documentation while utilizing tools for data analysis and mapping.
  • LO3: Utilize data systems to transform data, considering trade-offs between data access and resource utilization.
  • LO4: Process multiple streams of data, applying analysis and transformation techniques for improved data quality.

Course Brochure

Certification

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

Microsoft Learning Partner

We are an Authorised Microsoft Learning Partner (Org ID: 5238476). To get the official Microsoft certification, please register your certification exam at a Pearson VUE test center.

Certification Exam

We are Authorised Pearson Vue Testing Center. Once you have prepared for the exam, you can register for the certification here. The course fee does not include the certification exam fee.

You can purchase the exam voucher (one of the lowest prices in Singapore) at Microsoft Fundamental Certification Exam Voucher.

WSQ - Microsoft Azure Data Fundamentals (DP-900)

Course Code: TGS-2023036641
  • WSQ
  • SFC
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES
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What's This Course About

Embark on a journey into the world of cloud data management with our Microsoft Azure Data Fundamentals course. This course is designed to equip you with the knowledge and skills required to manage data effectively on the Microsoft Azure platform. You'll explore the core concepts of Azure data services, diving deep into Azure databases, big data, and analytics solutions

In our course, you'll get hands-on experience using Microsoft Azure's advanced data services, enabling you to implement practical solutions to real-world problems. We provide a comprehensive understanding of data processing and data analytics using Microsoft Azure. Don't miss this opportunity to advance your career in the rapidly growing field of cloud data management

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

WSQ Funding

Full Fee $800.00 Before GST
GST $72.00 9% of fee
Baseline Nett $472.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $312.00 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

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.

Direct Application on SkillsFuture Portal

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.

Submit UTAP Claim

PSEA

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

Check PSEA Eligibility

  • 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 Form, then submit the completed form to us:

PSEA Withdrawal FormSubmit PSEA Form

Course FeeBefore Funding

$800.00 (GST-exclusive)
$872.00 (GST-inclusive)

Course Date

Course Time

* Required Fields

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: 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:

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.

  1. Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
  2. We email you an invoice showing the course fee after funding.
  3. 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.
  4. Click Submit a Claim and search for this course by its course code, TGS-2023036641.
  5. 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).
  6. 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.
  1. Check your company's SFEC eligibility and balance on EnterpriseSG.
  2. 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.
  3. Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
  4. 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.

  1. Make sure your NTUC membership is paid up before the course starts.
  2. Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
  3. Attend at least 75% of the course and sit all assessments.
  4. 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.
  5. 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).
  6. 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.

  1. Check that this course shows the PSEA tag on its MySkillsFuture page.
  2. Check your PSEA balance on MOE's Student Finance System with Singpass.
  3. Download and complete the PSEA withdrawal form, then submit it to us.
  4. 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.
  5. 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.

  1. 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.
  2. Discuss the decision with the assessor or the assessment manager first.
  3. 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.
  4. Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
  5. 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.
  6. 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

Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.

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.

Review

Customer Reviews (12)

Average Rating: 5.0/5 Review by Course Participant/Trainee
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Explains and helps when I ask questions or don’t understand. (Posted on 9/29/2026)
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NA (Posted on 8/16/2026)
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NA (Posted on 8/16/2026)
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