Introduction
Course Availability
-
Date(s): 02 to 20 Mar 2026
Venue: Online
Registration Closing Date: 09 Feb 2026
Course Description:
Business and data analytics play a major role in any business or organization. Increasingly, organisations require quality data to help them understand the market, customers, competitors and their own activity. Businesses and organizations are progressively moving towards a data-driven culture – where data-driven decisions and the deployment of data-related processes such as data collection, data consolidation and data governance – are central to business sustainability.
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.
Key Benefits:
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).
Business and data analytics play a major role in any business or organization. Increasingly, organisations require quality data to help them understand the market, customers, competitors and their own activity. Businesses and organizations are progressively moving towards a data-driven culture – where data-driven decisions and the deployment of data-related processes such as data collection, data consolidation and data governance – are central to business sustainability.
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.
Key Benefits:
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).
Standard Course Fee: S$5232
| 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.
Skillsfuture Credits :
- SkillsFuture Credit: Applicable
- SkillsFuture Credit (4K Mid-Career Support): 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.
