Professional Certificate in Data Analytics and AI Tools (Synchronous and Asynchronous E-Learning)
As businesses operate in a digital environment, artificial intelligence (AI) tools used to support work and decision making are also becoming common place.
With these trends and the trend towards self-service analytics – analytics is distributed out to functional and divisional lines – more and more, every job role will be working with data and with it the skill needed to handle data.
In this professional certification course, we have brought together modules that not only explains the application and context of data analysis and analytics but puts into focus the applicable use of various data analytic tools, e.g., Excel, Tableau and AI-powered tools (e.g., Generative AI, Agentic AI, etc).
A Launchpad for Enterprise Capability
This programme is intentionally designed as a foundational capability-building initiative for organisations. It equips enterprise teams with the practical knowledge and hands-on experience needed to integrate data and AI tools directly into daily workflows, establishing a scalable foundation for continuous workforce development.
For business units seeking to develop deeper functional capabilities, the programme serves as a strategic launchpad into advanced skill pathways across Data Analytics, Artificial Intelligence, Data Science, Business Intelligence, and Intelligent Automation.
This structured upskilling framework enables organisations to bridge internal skill gaps, standardise AI literacy across departments, and cultivate scalable, in-house expertise. By building an AI-ready workforce, enterprise teams are positioned to accelerate data-led initiatives and deliver measurable operational value.
Explore other related courses below:
Level 1 Foundational skills course | Level 2 Advanced course with projects |
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By the end of this program, participants will be able to:
- Understand Data Analysis and Forecasting
Gain a clear understanding of what data analysis and forecasting entail and what is expected from a business and data analyst. - Utilise Key Excel Functions for Data Analysis
Master key functions of Excel that are essential for data analysis and forecasting, enabling participants to manage, analyse, and present data effectively. - Leverage Data Analysis Tools for Business
Learn how to apply data analysis tools to enhance business strategies, using insights to drive decision-making and improve business outcomes. - Explore the AI Tools Landscape
Understand the evolving landscape of AI tools, with a focus on AI-powered solutions that are transforming industries. - Use Agentic AI in Business Application
Gain hands-on experience with Agentic AI, understanding how to use this tool to optimise business processes. - Approach Market Sensing Strategically
Learn what market sensing is, how to approach it, and how to leverage insights for better decision-making in dynamic market environments. - Utilize Tableau for Market Sensing
Understand how Tableau can be used as a powerful tool for market sensing, allowing for advanced data visualisation and insights to inform business strategies. - Maximize the Potential of Generative AI
Learn how to get the most out of Generative AI, including understanding prompt engineering to generate relevant and actionable results.
| Module | Objective |
 Data Analysis and Forecasting | What you will learn:
Tool used:
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Leveraging on Data Analytics Tools for Business | What you will learn:
Tools used:
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 Market Sensing | What you will learn:
Tools used:
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Anyone who is currently or would be dealing with data in their job role should attend this course. The knowledge gained in knowing how to apply popular data analytics tools and AI-powered tools will be an advantage for any job.
Venue: Synchronous E-Learning via Zoom
Duration: 6 days: (42 hours: 18 hours of Synchronous E-Learning + 18 hours of Asynchronous E-Learning + 6 hours of assessment)
| Date | Time | Module Title | Mode | Class Type |
|---|---|---|---|---|
| Week 1 : Context: Data Analysis - Wrangling and Analysis | ||||
| 5 Oct 2026 | 7pm-10pm | Excel Fundamentals | Synchronous | Lecture and Group Work |
| 6 Oct 2026 | 8pm-11pm | PC intro and SQL and Power Query Fundamentals | Synchronous | Lecture and Group Work |
| 7 Oct 2026 | 10am-10pm | Access to Materials, Self-Learning, Work on Assignment | Asynchronous | Check-in anytime to get materials for self-learning |
| 8 Oct 2026 | 10am-10pm | Access to Materials, Self-Learning, Work on Assignment | Asynchronous | Check-in anytime to get materials for self-learning |
| 9 Oct 2026 | 10am-10pm | Assignment/Quiz | Asynchronous | Assignment/Quiz due date |
| Week 2 : Context: Leveraging Data Analytic Tools in Marketing | ||||
| 12 Oct 2026 | 10am-10pm | Access to Materials, Self-Learning | Asynchronous | Check-in anytime to get materials for self-learning |
| 13 Oct 2026 | 7pm-10pm | Generative AI | Synchronous | Lecture and Group Work |
| 14 Oct 2026 | 10am-10pm | Access to Materials, Self-Learning | Asynchronous | Check-in anytime to get materials for self-learning |
| 15 Oct 2026 | 7pm-10pm | Agentic AI | Synchronous | Lecture and Group Work |
| 16 Oct 2026 | 10am-10pm | Assignment/Quiz | Asynchronous | Assignment/Quiz due date |
| Week 3 : Context: Market Sensing | ||||
| 19 Oct 2026 | 7pm-10pm | Tableau Essentials | Synchronous | Lecture and Group Work |
| 20 Oct 2026 | 10am-10pm | Access to Materials, Self-Learning | Asynchronous | Check-in anytime to get materials for self-learning |
| 21 Oct 2026 | 7pm-10pm | Excel Essentials | Synchronous | Lecture and Group Work |
| 22 Oct 2026 | 10am-10pm | Access to Materials, Self-Learning | Asynchronous | Check-in anytime to get materials for self-learning |
| 23 Oct 2026 | 10am-10pm | Group Assignment Submission | Asynchronous | Assignment/Quiz due date |
Note: NTU reserves the right to change the date, venue, and mode of delivery due to unforeseen circumstances.
 | Upon course completion and fulfilling all requirements, participants will be awarded a NTU e-Certificate of Completion, demonstrating their proficiency in the essential areas of the course.
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| Fee and Funding | ||||
|---|---|---|---|---|
| Programme | Programme Fee (before GST) | Singapore Citizen and Permanent Resident below 40 years old (including GST) | Singapore Citizen 40 years old and above and Mid-Career Enhanced Subsidy (MCES) (including GST) | Enhanced Training Support for Small & Medium Enterprises (ETSS) (including GST) |
| Professional Certificate in Data Analytics and AI Tools (Synchronous and Asynchronous E-Learning) | S$4,800.00 | S$2,832.00 | S$1,872.00 | S$1,872.00 |
Funding Requirements:
- You must achieve a minimum of 75% attendance for each course.
- You must complete and pass all assessment components.
Read more about funding here.
Credits:
- SkillsFuture Credit (Opening Credit): Applicable
- SkillsFuture Credit ($4,000 Mid-Career Top-Up Credit): Not Applicable
- NTU/NIE Alumni Credits (up to S$1,600): Applicable
NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Union Training Assistance Programme (UTAP):
- NTUC members are eligible for Union Training Assistance Programme (UTAP) funding support. Members may self-submit their UTAP claim after successful completion of the programme.
- NTUC members aged below 40 may claim 50% of the unfunded course fee, capped at S$250 per calendar year.
- NTUC members aged 40 and above may claim 50% of the unfunded course fee, capped at S$500 per calendar year.
- For more information on UTAP and its claim process, please click here.
 | Mr. Francis Tay Francis is currently a lecturer at Nanyang Technological University (NTU) Wee Kim Wee School for Communications and Information (WKWSCI), teaching Business Intelligence, Information Sources and Services, and Information Entrepreneurship in the Master of Knowledge Management, Master of Information Systems, and Master of Information Studies and Master of Mass Communications. He has been teaching at NTU at post-graduate level for more than 10 years. Francis has also conducted short courses under PACE’s programmes in specialised areas e.g., Data Analysis and Analytics, Market Sensing, and others. |
 | Mr. Ian Tan, Lecturer, NTU WKWSCI Ian lectures in strategic communications at Wee Kim Wee School of Communication and Information, Nanyang Technological University. He covers multiple disciplines such as advertising and journalism. He also provides consultation and training for large organisations in the areas of Generative AI, AI imaging and communications. His career has spanned across the media, consumer technology and gaming industries. He started out as a journalist and went on to become a global marketer and business leader. He has had held senior leadership positions at major companies like Lenovo, Razer, Microsoft and Singapore Press Holdings. Ian has combined his expertise in technology, storytelling, visual art, and pedagogy to help people grow and learn using the power of words, visuals and AI. He also contributes commentaries and quotes to national media on topics ranging from communications to lifelong learning. |
 | Ms. Khoo Seok Teng Seok Teng is a committed and versatile educator with significant industry experience and extensive teaching experience. She possesses strong business acumen and domain knowledge across different industries - hospitality, travel, technology and telecoms. She has a passion for delivering enriching learning experiences to both young adult learners and mature learners by using relatable real-world examples. Seok Teng is also a Chartered Accountant, CFA, MBA, BSc (Computer Science) and Tableau Desktop Specialist. |
 | Mr. Kan Hwa Heng Hwa Heng is an adjunct lecturer at various institutes of higher learning. He teaches ICT subjects such as databases, SQL language, object-oriented programming, web application development, and data visualisation. He has more than 4 years of teaching experience. Hwa Heng has more than 20 years of experience in the ICT industry. He performed various technical roles including software development, technical pre-sales and IT project management. He developed and maintained enterprise applications for the government, banking and healthcare domains. Hwa Heng obtained his MBA (Management of Information Technology) and Honours degree (Computer Technology) from Nanyang Technological University (NTU). He is a certified Project Management Professional and certified Tableau Desktop Specialist. |
 | Mr. Alan Ho Alan is the CEO and founding member of Good Bards. Alan is a marketing veteran with over two decades of experience in Information Technology. With a background in B2B marketing, he has held senior leadership roles in tech giants and start-ups. Alan's entrepreneurial journey led him to develop a cutting-edge marketing automation tool to empower marketers with efficient execution capabilities. Alan is also an adjunct lecturer with SMU teaching "Managing Customer Relations with Analytics. |