Blog > Data Analytics > Best Data Analytics Courses in Singapore (2026 Edition)
7 Best Data Analytics Courses in Singapore 2026: Compare & Pick The Best Course for You
💡 Key Takeaways
• Best for Beginners: Google Data Analytics Professional Certificate (Coursera)
• Best for Finance Professionals: Kaplan – ICAEW Data Analytics Certificate
• Key Skills Covered: SQL, Tableau, Python, Power BI
• Average Subsidy: Up to 70% with SkillsFuture
Your 2026 Guide to Data Analytics Courses & Career Opportunities
Finding the best data analytics course in Singapore can be overwhelming. In this comprehensive 2026 guide, we compare the top 7 courses based on curriculum, job relevance, and student outcomes. Whether you’re a complete beginner or a professional looking to upskill, this expert-reviewed comparison will help you choose the right path to a successful data career.
So if you’re asking yourself, “Should I learn data analytics?” or “What’s the best data analytics courses in Singapore?” — you’re in the right place.
In this guide, we’ll walk you through why data analytics matters, how it can benefit your career, what to expect from your learning journey, and what to look for in great data analytics courses. We’ll also break down your top options for data analytics courses in Singapore, including a deep dive into Heicoders Academy’s Data Analytics course so you can make an informed decision about your upskilling journey.

Why You Should Take a Data Analytics Course in 2026
You don’t need to be a data scientist to make use of data. In today’s workplace, everyone from marketing executives and HR managers to operations leads and entrepreneurs is expected to work with data in some form.
Here’s why learning data analytics is one of the most practical moves you can make:
| Benefit Category | Key Statistic/Outcome |
|---|---|
| Career Growth | 19% projected job growth in Singapore (2023-2026) |
| Salary Potential | Up to S$7,500/month for mid-level roles |
| Industry Demand | High demand in Finance, E-commerce, Logistics, Healthcare |
| Core Skills | SQL, Tableau, Python, Data Storytelling |
📈 Career Growth & Future-Proofing
Data analytics is one of the most future-proof skills in Singapore’s 2026 job market, with roles projected to grow by 19% according to SkillsFuture Singapore’s Jobs-Skills Report. Industries like banking, e-commerce, logistics, and public service are actively hiring data analysts, business intelligence specialists, and data engineers.
The job landscape is shifting rapidly—routine tasks are being automated, but data interpretation, strategic insight, and decision-making remain human-centered and irreplaceable.
💰 Higher Salary Opportunities
- Entry-level data analysts in Singapore earn $3,500–$5,000/month
- Mid-level data professionals can earn up to $7,500/month or more
- Senior analysts and analytics managers earn above $10,000/month, especially in finance and tech sectors
Data analytics roles offer a great return on investment when compared to the relatively short learning curve required.
🎓 Transferable Across Roles
- Marketing: campaign analysis, A/B testing, customer segmentation
- Finance: budgeting, forecasting, scenario analysis
- Operations: supply chain optimisation, KPI dashboards
- HR: attrition analysis, performance metrics
The ability to read, clean, and interpret data is becoming a core skill, not a nice-to-have.
📊 Real Business Impact
Being able to extract insights from Excel, dashboards, or Python notebooks empowers you to make data-driven decisions that move the needle in your work.
When you can show that your data analysis led to revenue increase, cost savings, or improved efficiency, you’re instantly more valuable to any employer.
💡 Curious what real interview questions employers ask for data roles look like? Get a head start by reviewing our guide on 25 Common Data Analyst Interview Questions and Answers.
Frequently Asked Questions (FAQ) About Data Analytics Courses
Before jumping into any course, it’s important to understand how it fits into your broader career goals. Here are some common questions:
❓ Do I need a tech or math background to take data analytics courses?
No. Most beginner-friendly data analytics courses in Singapore, including Heicoders Academy’s DA100, assume zero prior experience and guide you from core concepts to advanced tools like SQL and Tableau. If you can use Excel and have basic computer literacy, you’re ready to start.
❓ How long does it take to become job-ready in data analytics?
With a structured, part-time course like Heicoders Academy’s DA100, you can become job-ready in 7-12 weeks. Intensive programs focus on building a practical portfolio with tools like SQL and Tableau to demonstrate your skills to employers. The key is hands-on projects, not just theory.
❓ Can I balance a data analytics course with a full-time job?
Yes. Many providers offer weekend or evening data analytics classes, and some are fully online and recorded, so you can study at your own pace.
❓ Will I get a job after completing a data analytics course?
Data analytics courses alone won’t guarantee a job, but the right course will provide career support, portfolio projects, and certifications that can significantly improve your hiring chances.
❓ What are the prerequisites for most data analytics courses?
Most beginner-friendly courses only require basic computer literacy. Having a curiosity for numbers, logic, or business operations helps, but isn’t mandatory.
❓ Is certification important?
Yes — especially if you’re making a career switch. Recognised data analytics certificates signal to employers that you’ve been trained in essential tools and methodologies.
❓ What if I don’t want to become a Data Analyst?
That’s perfectly okay. Many learners take analytics courses to enhance their existing roles. From marketers and PMs to founders and educators, analytics improves decision-making, regardless of your title.
❓ How do I pick the right tools to learn (Excel vs Python vs SQL)?
A solid data analytics course will teach a mix of tools — Excel for business users, SQL for working with databases, and Python for automation and deeper analytics. The more versatile you are, the more valuable you become.
What to Look For in Data Analytics Courses in Singapore
Not all data analytics courses are created equal. Here are the must-have features you should prioritise:
✅ Hands-On Tools & Projects
Theoretical knowledge is useful, but employers want proof that you can use real tools like SQL, Tableau, Python, or Excel. Look for data analytics courses with capstone projects using real-world datasets.
✅ Local Relevance & Job Market Alignment
The Singapore job market is unique. A data analytics course designed with Singapore-based employers in mind (including local subsidies, job types, and use cases) will give you an edge.
✅ Career Support & Mentorship
It’s not just what you learn, but who supports your journey. The best data analytics courses offer mentorship, career coaching, resume reviews, and sometimes even referrals.
✅ Government Subsidies
Look for courses that qualify for SkillsFuture Credit, NTUC UTAP, or IBF Funding — these can reduce your out-of-pocket cost by up to 70%.
✅ Flexibility
If you’re a working adult, make sure the data analytics course is offered live online or in flexible formats. Avoid rigid, weekday-only schedules.
✅ Industry-Credible Instructors
Instructors who are active data professionals bring insights, tools, and frameworks that are directly transferable to the workplace.
✅ Community and Alumni Support
A strong network of alumni or a learning community can help you stay motivated, find jobs, and gain insider industry insights. That’s why we’ve created an open space for learners like you to exchange ideas, get support, and stay connected.
👉 Join Heicoders Academy’s growing tech upskilling community on Telegram.
Best Data Analytics Courses in Singapore (2026)
🔹 Heicoders Academy: Data Analytics Course with SQL & Tableau

Why DA100 is Singapore’s Top-Rated Data Analytics Course in 2026
Heicoders Academy’s Data Analytics Course with SQL & Tableau is Singapore’s highest-rated data analytics program with 2,400+ five-star Google reviews and 20,000+ skilled learners. Built specifically for career switchers and professionals with no coding background, this WSQ-accredited course offers up to 70% subsidies through SkillsFuture, PSEA, EIS, and UTAP—making it the most accessible path to a job-ready data analytics portfolio.
Unlike generic online courses, DA100 focuses on the exact skills Singapore employers demand: SQL for database querying, Tableau for data visualization, and data storytelling for business impact.
With online and in-person weekend classes, hands-on capstone projects using real-world datasets, and dedicated career support, Heicoders has helped hundreds of professionals successfully transition into data analyst roles at companies like DBS, Shopee, and Grab.
What Makes DA100 Singapore’s Best Data Analytics Course
✅Highest Student Rating: 4.9/5 stars (2,400+ Google reviews)
✅ Proven Track Record: 20,000+ skilled learners since 2016
✅ Maximum Subsidies: Up to 70% off with SkillsFuture + UTAP + IBF funding
✅ Job-Ready Skills: SQL, Tableau, and real-world capstone projects
✅ Career Support: Resume reviews, mock interviews, and job referrals
✅ Flexible Schedule: Live online classes on weekends (7 weeks part-time)
✅ WSQ-Accredited: Government-recognized certification
What You’ll Master in 7 Weeks
By the end of DA100, you’ll have a complete, job-ready data analytics portfolio that demonstrates your ability to:
SQL Mastery: Write complex queries to extract, clean, and analyze data from relational databases—the #1 skill employers look for in data analyst job postings.
Tableau Visualization: Build interactive, publication-ready dashboards that tell compelling data stories. Learn to create charts, graphs, geospatial maps, and forecasting models that drive business decisions.
Data Storytelling: Transform raw data into actionable insights that non-technical stakeholders can understand and act on—a critical skill for career advancement.
Real-World Capstone Project: Apply everything you’ve learned to a real-world dataset (e.g., e-commerce sales, healthcare analytics, or financial forecasting) and present your findings like a professional data analyst.
Cloud Deployment: Publish your dashboards to Tableau Cloud so employers can see your work live during interviews—giving you a massive competitive advantage.
Curriculum Highlights:
- Gain the ability to query and manipulate real business data with confidence, from foundational to advanced SQL skills.
- Build visuals that help drive business decisions through clear, compelling storytelling.
- Learn how to make data actionable by forecasting outcomes and publishing your insights in interactive, cloud-accessible dashboards.
- Apply everything you’ve learned in a capstone project using real-world datasets to demonstrate your skills to future employers.
Class Format & Duration:
- Live Online Classes (Weekends)
- 7 Weeks (Part-Time)
- Instructor-led, with recorded replays
Who Should Enroll in DA100
This course is perfect for:
✅ Career Switchers: Professionals from non-tech backgrounds (marketing, finance, operations, HR) looking to transition into high-demand data analyst roles.
✅ Mid-Career Professionals: Working adults who want to upskill without quitting their jobs—DA100’s weekend schedule makes it possible to learn while you earn.
✅ Fresh Graduates: Recent grads who want to stand out in Singapore’s competitive job market with in-demand SQL and Tableau skills.
✅ Business Analysts & Marketers: Professionals who already work with data but want to formalize their skills and earn a recognized certification.
✅ Anyone with Zero Coding Experience: If you can use Excel and have basic computer literacy, you’re ready to start. No programming background required.
Course Details at a Glance
| Detail | Information |
|---|---|
| Course Code | DA100 |
| Duration | 7 weeks (part-time) |
| Schedule | Live online classes on weekends |
| Tools Covered | SQL, Tableau, Data Storytelling |
| Accreditation | WSQ-Accredited by SkillsFuture Singapore |
| Subsidies | Up to 70% off (SkillsFuture + PSEA + UTAP + IBF) |
| Career Support | Resume reviews, mock interviews, job referrals |
| Student Rating | 4.9/5 stars (2,400+ Google reviews) |
| Graduates | 20,000+ skilled learners since 2016 |
Why Singapore Employers Trust DA100 Graduates
Heicoders Academy has built a reputation as Singapore’s most trusted data analytics training provider. Here’s why employers actively seek out DA100 graduates:
Industry-Relevant Curriculum: DA100’s curriculum is designed in consultation with hiring managers from Singapore’s top tech, finance, and e-commerce companies. You learn exactly what employers need—not outdated academic theory.
Hands-On Portfolio: Unlike certificate-only programs, DA100 graduates leave with a live Tableau portfolio that employers can review during interviews. This tangible proof of skills dramatically increases hiring rates.
Strong Alumni Network: With 20,000+ graduates, Heicoders has one of the largest tech alumni networks in Singapore. Many students find jobs through alumni referrals and internal recommendations.
Proven Job Placement: DA100 graduates have successfully landed data analyst roles at DBS, Shopee, Grab, Singtel, and hundreds of other Singapore companies. The combination of practical skills, recognized certification, and career support makes DA100 the most direct path to employment.
🔗 Explore Heicoders’ Data Analytics Course
🔹 NTUC LearningHub: Data Analytics Course with Excel

NTUC LearningHub offers a practical Excel-focused Data Analytics course for individuals who want to apply data analytics skills directly in business environments. This short course is suitable for those who work in admin, finance, or operations and want to upskill quickly.
What You’ll Learn:
✔ Data Cleaning and Formatting in Excel
✔ Pivot Tables, Charts & Dashboard Creation
✔ Data Analysis with Excel Functions
✔ Real-Life Case Scenarios for Reporting
Curriculum Highlights:
- Focus on Microsoft Excel as a core tool for business analytics
- Learn how to create automated dashboards and generate insights
- Apply Excel-based analysis in marketing, HR, or finance settings
Class Format & Duration:
- In-Person or Online
- 2–4 Days Intensive Course
Who Should Join:
Professionals who need quick upskilling in Excel-based data analytics and prefer shorter, non-technical courses
🔹 General Assembly: Data Analytics Short Course

General Assembly’s Data Analytics course is internationally recognised and offers comprehensive training in data analytics fundamentals with a global curriculum. It’s ideal for learners who want a polished, high-end experience.
What You’ll Learn:
✔ Data Analysis Process and Workflow
✔ Excel, SQL, and Tableau Applications
✔ Data Visualisation
✔ Data Collection & Cleaning
Curriculum Highlights:
- Project-based learning with case studies
- Real datasets from business domains
- Final presentation to demonstrate portfolio-ready skills
Class Format & Duration:
- Live Online
- 10 Weeks (Part-Time)
Who Should Join:
Working professionals looking for an international-level curriculum with certification and polished presentation training
🔹 Coursera (Google): Data Analytics Professional Certificate – Self-Paced Course

Offered by Google through Coursera, this self-paced Data Analytics course is one of the most accessible entry points into the field. It’s ideal for self-motivated learners who prefer flexibility.
What You’ll Learn:
✔ Data Cleaning & Visualisation
✔ SQL and R Programming (Basics)
✔ Spreadsheets and Google Sheets
✔ Case Studies with Google’s Data Team
Curriculum Highlights:
- Guided projects and quizzes in each module
- End-of-course capstone project with peer review
- Built-in career guidance and resume tips
Class Format & Duration:
- Self-Paced Online
- ~6 Months (3–5 hours per week recommended)
Who Should Join:
Anyone looking for a globally recognised certificate, especially those learning at their own pace on a budget
🔹 Nanyang Polytechnic: Specialist Diploma in Business & Big Data Analytics

This diploma by NYP is part of their CET (Continuing Education & Training) programme, combining academic depth with practical business applications.
What You’ll Learn:
✔ Business Intelligence Concepts
✔ Power BI, Excel, and SQL
✔ Applied Analytics in Business Functions
✔ Data Governance & Ethics
Curriculum Highlights:
- Modules in Data Visualisation, Predictive Modelling, and Big Data Tools
- Emphasis on enterprise analytics and stakeholder communication
- Assessment includes projects and presentations
Class Format & Duration:
- Blended Learning (Evenings & Online)
- 1 Year Part-Time
Who Should Join:
Professionals looking to upskill with academic accreditation and apply analytics in corporate strategy
🔹 Singapore Polytechnic: Specialist Diploma in Data Science (Data Analytics Track)

This structured programme is designed for professionals who want deep technical grounding in analytics.
What You’ll Learn:
✔ Python Programming for Analytics
✔ Data Mining & Feature Engineering
✔ Data Storytelling & Presentation Skills
✔ Statistical Modelling Techniques
Curriculum Highlights:
- Core modules in data science with electives in analytics applications
- Strong focus on programming and analytical thinking
- Includes real-world case projects
Class Format & Duration:
- Evening Classes (On-Campus)
- 1 Year Part-Time
Who Should Join:
Learners who want academic rigour and plan to continue into advanced analytics or machine learning roles.
🔹 Kaplan: ICAEW Data Analytics Certificate

Kaplan’s professional certificate programme is ideal for those who prefer classroom-based learning in a structured, time-efficient format.
What You’ll Learn:
✔ Excel for Data Analysis
✔ Dashboard Creation and Visualisation
✔ Business Metrics & KPI Reporting
Curriculum Highlights:
- Industry-aligned short course designed by professionals
- Practical training with tools used in SMEs and corporates
- Capstone assignment and classroom discussion
Class Format & Duration:
- Self-paced online
- 1–2 Months Part-Time
Who Should Join:
Professionals who want fast-tracked learning and enjoy in-person engagement over online formats
How These Data Analytics Courses Compare
|
Course Provider |
Best For |
Format |
Duration |
Tools Covered |
Subsidy Eligible |
Career Support |
Rating |
|---|---|---|---|---|---|---|---|
|
Heicoders Academy |
Career Switchers & Beginners |
Live Online (weekdays or weekend) |
7 weeks |
SQL, Tableau |
✅ SFC, UTAP, IBF |
✅ Yes |
4.9/5 |
|
NTUC LearningHub |
Quick Excel Upskilling |
Online / In-Person |
2–4 days |
Excel |
✅ SFC, UTAP |
❌ No |
4.5/5 |
|
General Assembly |
International Curriculum |
Live Online |
10 weeks |
SQL, Tableau |
❌ No |
✅ Yes |
4.7/5 |
|
Coursera (Google) |
Self-Paced, Budget Learners |
Self-Paced Online |
~6 months |
Excel, SQL, R |
❌ No |
❌ No |
4.8/5 |
|
Nanyang Polytechnic |
Academic Credentials (Business Focus) |
Blended Evenings |
1 year |
Power BI, SQL, Big Data |
✅ SFC |
✅ Yes |
4.6/5 |
|
Singapore Polytechnic |
Academic Credentials (Technical Focus) |
Evenings |
1 year |
Python, Data Mining |
✅ SFC |
✅ Yes |
4.6/5 |
|
Kaplan |
Finance Professionals |
Self-Paced online |
1–2 months |
Python, R, Power BI & Tableau |
❌ No |
❌ No |
4.4/5 |
Who Should Take a Data Analytics Course?
You don’t need to be a data geek to benefit from a course. If you’re in one of these situations, data analytics can significantly upgrade your career:
✅ You’re a mid-career professional looking to switch into tech or grow in your current role
✅ You’re a fresh grad trying to stand out in a competitive job market
✅ You work with spreadsheets, reports, or performance metrics regularly
✅ You’ve been affected by AI or automation trends and want to upskill into something future-proof
✅ You’re in operations, marketing, HR, or finance and need data skills to remain competitive

What Happens After a Data Analytics Course?
🔍 Career Pathways
Graduates of quality data analytics courses often go into roles like:
- Data Analyst
- Business Analyst
- Business Intelligence Analyst
- Marketing Analyst
- Operations Analyst
- Junior Data Engineer
- Data Visualisation Specialist
- Product or Strategy Analyst
🧠 Further Learning
Many graduates go on to:
- Take advanced analytics or machine learning courses
- Pursue specialisations in finance, marketing, or product analytics
- Transition into roles that blend domain + data (e.g. Product Ops, Strategy)
- Explore professional certifications like Microsoft Certified: Data Analyst Associate or Tableau Desktop Specialist
Final Thoughts: Which Data Analytics Course Should You Choose?
🏆 Final Verdict: Best Data Analytics Course in Singapore 2026
For its balance of practical skills (SQL & Tableau), strong career support, outstanding student reviews (4.9/5 stars), and significant government subsidies, Heicoders Academy’s DA100 is the top choice for most beginners and career switchers in Singapore.
While other courses offer academic depth (NYP, SP) or global branding (GA, Coursera), Heicoders provides the most direct and cost-effective path to a job-ready data analytics portfolio.
Ultimately, the best data analytics course is the one that aligns with your schedule, learning style, and career goals. However, if you’re looking for a structured, beginner-friendly program with strong career support, hands-on projects, and up to 70% subsidies, Heicoders Academy’s DA100 stands out as the clear winner in Singapore’s 2026 landscape.
With 20,000+ skilled learners, 2,400+ five-star reviews, and a proven track record of helping career switchers land data analyst roles, DA100 is built for people like you—motivated, ambitious, and ready to take action.
👉 Click here to learn more and enrol in Heicoders Academy’s Data Analytics Course

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