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 TSC

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.
Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.
  • 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.

WSQ - Microsoft Azure Data Fundamentals (DP-900)

Course Code: TGS-2023036641
  • WSQ
  • SkillsFuture Credit
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES

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 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-2023036641)
  • 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 and email to us. 

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

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.

Target Year Group : 21-65 years old

Minimum Software/Hardware Requirement

Software:

You need to sign up a Azure account (Credit Card is required).

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

  • Log in to your U Portal account to submit your UTAP application upon completion of the course.

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

  1. The candidate has the right to disagree with the assessment decision made by the assessor.
  2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
  3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
  4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
  5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
  6. 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.
  7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
  8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
  9. The assessor can help the candidate with writing and lodging the appeal.
  10. he assessment manager will collect information from the candidate & assessor and give a final decision.
  11. A record of the appeal and any subsequent actions and findings will be made.
  12. An Assessment Appeal Panel will be formed to review and give a decision.
  13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
  14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
  15. Please click the link below to fill up the Candidates Appeal Form.

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 (8)

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2. Do you find the trainer knowledgeable in this subject?
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More practical examples (Posted on 8/7/2019)
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3. How do you find the training environment
May be allocate more time for hand-on. (Posted on 8/7/2019)
Will Recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
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