Best Data Analytics Certifications in Singapore: Top 8 Picks for 2025

Data has become more than just a reporting tool. It shapes strategies, drives innovation, and influences billion-dollar decisions. In Singapore, businesses use data analytics to streamline operations, improve customer experiences, and gain a competitive edge. As companies generate more data than ever, the demand for data professionals who can extract insights, interpret trends, and make data-driven decisions continues to rise.

Why You Should Learn Data Analytics Skills

• AI and Machine Learning Expertise – Businesses increasingly rely on advanced algorithms to automate processes and uncover complex insights.
• Python and R Skills – These languages remain essential for data manipulation, statistical analysis, and predictive modelling.
• Natural Language Processing (NLP) – As organisations deal with vast amounts of unstructured text data, NLP skills are crucial for text analytics and automation.

Earning one of the best data analytics certifications in Singapore is a smart move for those looking to build a career in data analytics or upskill. Certifications provide structured training, hands-on experience, and industry recognition, helping professionals gain a competitive edge in the job market.

8 Best Data Analytics Certifications in Singapore for 2025

With the demand for data analytics professionals growing, choosing the right certification is crucial for career advancement. Below, we break down the 8 best data analytics certifications in Singapore for 2025, detailing what you’ll learn, the course structure, and who each certification is best suited for.

1. Vertical Institute – Data Analytics Course

Vertical Institute’s Data Analytics course offers practical, industry-relevant training for beginners and professionals. The programme focuses on essential tools and techniques to equip participants with hands-on experience.

What are the Skills You’ll Learn?

✔ Data Cleaning and Preparation

✔ SQL for Data Extraction

✔ Tableau for Data Visualisation

✔ Business Intelligence Techniques

✔ Dashboards and Storytelling with Data

Related Article: Power BI vs Tableau: What is the Best Data Visualisation Tool to Learn

What are the Curriculum Highlights?

• Excel for Data Analysis – Learn to manipulate datasets efficiently.
• SQL for Database Management – Write queries to extract meaningful insights.
• Tableau for Data Visualisation – Create interactive dashboards and reports.
• Capstone Project – Work on a real-world business case to apply your skills.

What is the Class Duration and Format

Online, 21 hours (7 lessons, 3 hours each)

Who Should Join? 

• Beginners with No Prior Experience – Learn data analytics from scratch with beginner-friendly tools like Excel, SQL, and Tableau without requiring prior coding knowledge.
• Career Switchers Looking to Enter the Data Industry – Transition into a data-driven role with industry-recognised certifications that offer hands-on projects and real-world applications.
• Professionals Wanting to Enhance Their Data Skills – Upskill in SQL, Python, and data visualisation to improve decision-making and automate data-driven reports.
• Entrepreneurs and Business Owners – Leverage data analytics to track business performance, optimise strategies, and gain insights using tools like Tableau.

Related Article: Business Analyst vs. Data Analyst: Roles, Skills, and Career Insights

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2. National University of Singapore – Professional Certificate in Data Analytics and Data Visualisation

This NUS-certified programme is ideal for professionals who want to apply data analytics in business decision-making.

What are the Skills You’ll Learn?

✔ Business Intelligence & Analytics

✔ Python for Data Analysis

✔ Predictive Analytics & Forecasting

✔ Machine Learning Fundamentals

What are the Curriculum Highlights?

• Data Visualisation with Python & Power BI
• Predictive Modelling & Forecasting
• Case Studies in Business Analytics

What is the Class Duration and Format

In-person, 6 days 

Who Should Join?

Managers, business owners, and professionals seeking data-driven decision-making skills.

3. SMU Academy – Certified Data Analytics (R) Specialist

SMU Academy’s Certified Data Analytics (R) Specialist programme offers efficient data analysis and statistical thinking techniques using R, one of the most widely used open-source languages in analytics. The course delves into statistical inference, modelling, and the creation of analysis reports, enabling participants to interpret and evaluate data-driven decisions effectively.  

What are the Skills You’ll Learn?

✔ Hands-on R Programming

✔ Statistical Thinking and Inference

✔ Data Visualisation and Storytelling

✔ Web Scraping and Data Insights

✔ Advanced Visual Analytics with ggplot2

What are the Curriculum Highlights?

The programme comprises six sequential modules:

1. Introduction to Data Analytics (using R programming)
2. Introduction to Data Visualisation (using R programming)
3. Web Scraping and Data Insights (using R programming)
4. Statistical Inference for Managerial Insights (using R programming)
5. A First Look at Visual Analytics (using ggplot2 packages in R)
6. Advancing Skillsets of Visual Analytics (using ggplot2 packages in R)

Each module builds upon the previous one, ensuring a comprehensive understanding of data analytics using R. 

Class Format & Duration

Online, 6 modules (must be completed within 3 years)

Who Should Join?

Professionals aiming to enhance their data analysis skills using R, including those interested in statistical inference, data visualisation, and applying data-driven decisions in real-world scenarios.

4. NTU PaCE – Professional Certificate in Data Analytics Tools

NTU’s Professional Certificate in Data Analytics Tools equips participants with practical skills in three essential data analytics tools: Excel, SQL, and Tableau. The programme focuses on hands-on training, enabling learners to apply data analysis techniques directly to real-world scenarios.

What are the Skills You’ll Learn?

✔ Data Wrangling with SQL and Power Query

✔ Advanced Excel Functions for Data Analysis

✔ Data Visualisation and Presentation with Tableau

✔ Market Sensing Tools and Techniques

✔ Leveraging Data Analytics for Sales and Marketing

What are the Curriculum Highlights?

The programme comprises three comprehensive courses:

1. Data Analysis and Forecasting

• Focuses on data acquisition, analysis, and presentation.
• Covers data wrangling with SQL and Power Query, essential Excel functions, and data visualisation with Tableau.

2. Market Sensing Tools & Approaches – Practical Application

• Introduces techniques for identifying and understanding data from various sources.
• Emphasises both digital and non-digital market sensing tools and the functional aspects of Excel for market analysis.

3. Leveraging Data Analytics for Sales & Marketing

• Provides knowledge on using data analytics to enhance sales and marketing efforts.
• Explores key functionalities of Tableau to improve sales strategies and customer engagement.

Each course is designed to build upon the previous one, ensuring a structured and comprehensive learning experience.

Class Format & Duration

In-person, Each course spans 2 to 3 days 

Participants must complete all three courses to receive the Professional Certificate.

Who Should Join?

Professionals seeking practical, hands-on experience in data analytics tools to enhance their analytical capabilities and apply data-driven decision-making in their organisations.

5. General Assembly – Data Analytics Short Course

General Assembly’s Data Analytics Short Course provides foundational data analysis skills applicable across various industries. The course focuses on practical applications, enabling learners to collect, analyse, and visualise data to inform decision-making processes. 

What are the Skills You’ll Learn?

✔ Data Collection and Cleaning

✔ Data Analysis Techniques

✔ Data Visualisation with Excel, SQL, and Tableau

✔ Storytelling with Data

What are the Curriculum Highlights?

• Data Collection and Cleaning: Learn to gather and prepare data from various sources for analysis.
• Data Analysis: Apply statistical methods to interpret data sets and extract meaningful insights.
• Data Visualisation: Utilise tools like Excel, SQL, and Tableau to create compelling visual representations of data.
• Capstone Project: Develop a comprehensive project that showcases your ability to analyse and visualise data to solve real-world problems.

Class Format & Duration

Online (Live) & In-person, Choose between a 10-week part-time schedule or a 1-week full-time intensive program. 

Who Should Join?

Professionals and beginners seeking to develop practical data analytics skills for application in various business contexts.

6. DataCamp – Data Analyst with Python Career Track

DataCamp’s Data Analyst Career Track is a self-paced, fully online programme designed for learners who want to develop practical data analysis skills using Python. The beginner-friendly course covers data analysis workflow, from data manipulation to visualisation.

What are the Skills You’ll Learn?

✔ Python for Data Analysis

✔ Pandas for Data Manipulation

✔ SQL for Database Queries

✔ Data Visualisation with Matplotlib & Seaborn

✔ Statistical Analysis & Hypothesis Testing

What are the Curriculum Highlights?

• Introduction to Python for Data Science – Learn Python fundamentals and how to work with data.
• Data Manipulation with Pandas – Clean, filter, and structure datasets efficiently.
• SQL for Data Analytics – Query databases and extract valuable insights.
• Data Visualisation with Matplotlib & Seaborn – Build interactive charts and dashboards.
• Case Studies & Real-World Projects – Work with datasets from different industries.

Class Format & Duration

Online (Self-Paced), Approx. 60+ hours, flexible schedule

Who Should Join?

Beginners, self-learners, and professionals looking for a flexible, hands-on way to learn Python for data analytics.

7. Google Data Analytics Professional Certificate

This flexible online programme is designed by Google to provide learners with in-demand data analytics skills. It’s tailored for beginners aiming to start a career in data analytics, covering the entire data analysis process from data cleaning to visualisation. 

What are the Skills You’ll Learn?

✔ Data Cleaning and Preparation

✔ Data Analysis with Spreadsheets and SQL

✔ Data Visualisation with Tableau

✔ Programming with R

✔ Data Ethics and Privacy

What are the Curriculum Highlights?

• Foundations: Data, Data, Everywhere: Introduction to the world of data analytics.
• Ask Questions to Make Data-Driven Decisions: Learn how to ask practical questions to make data-driven decisions.
• Prepare Data for Exploration: Understand how to collect and prepare data for analysis.
• Process Data from Dirty to Clean: Techniques for cleaning and organising data for analysis.
• Analyze Data to Answer Questions: Perform complex data analysis using various tools.
• Share Data Through the Art of Visualisation: Create impactful data visualisations to communicate findings.
• Data Analysis with R Programming: Introduction to R for data analysis.
• Capstone Project: Apply your skills in a real-world case study.

Class Format & Duration

Online (Self-Paced), Approximately 6 months, with a commitment of about 10 hours per week.

Who Should Join?

Individuals seeking a comprehensive, beginner-friendly introduction to data analytics with the flexibility to learn at their own pace.

Related Article: Did You Know You Can Now Use Your SkillsFuture Credits for Coursera Courses?

8. Udacity – Data Analyst Nanodegree

The Udacity Data Analyst Nanodegree is a project-based, hands-on certification designed for learners who want to develop real-world data analytics skills. The course covers Python programming, SQL, and machine learning fundamentals, helping students build a portfolio of projects to showcase to employers.

What are the Skills You’ll Learn?

✔ Python for Data Analysis

✔ SQL for Database Management

✔ Data Wrangling & Cleaning

✔ Data Visualisation with Matplotlib & Seaborn

✔ Statistics & Probability for Data Science

What are the Curriculum Highlights?

• Introduction to Data Analysis – Learn how to explore and analyse data with Python.
• Practical Statistics – Apply statistical techniques to make data-driven decisions.
• Data Wrangling with Python & SQL – Clean, process, and manage large datasets.
• Data Visualisation – Create compelling visuals with Matplotlib & Seaborn.
• Real-World Capstone Project – Work on an industry-related project to apply your skills.

Class Format & Duration: Online (Self-Paced), 4 months (part-time, ~10 hours per week)

Who Should Join?

Individuals looking for a portfolio-driven, project-based certification with practical experience in data analytics.

Comparison Chart of the Best Data Analytics Certifications in Singapore

Common Questions About Data Analytics Certifications in Singapore

Conclusion

Businesses across Singapore rely on data to drive decisions, and professionals who can analyse, interpret, and present insights are in high demand. Whether you’re looking to transition into a data role, upskill for career growth, or simply understand how data shapes business strategies, completing one of the best data analytics certifications in Singapore can set you apart. 

Programmes like Vertical Institute’s courses offer hands-on training for beginners, while NUS and NTU provide structured, university-backed courses. If flexibility is key, options like Google’s Data Analytics Certificate on Coursera or Udacity’s Nanodegree allow you to learn at your own pace. 

With data analytics becoming a core skill across industries, now is the time to invest in your future. Choose a programme that aligns with your goals, start building real-world expertise, and take a step towards becoming a sought-after data professional. The best data analytics certification for you is the one that gets you where you want to be.

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