NUS
 
ISS
 

AI-Powered Analytics and Insights

Make Smarter Business Decisions with AI-Powered Data Insights

Overview

Part of -
Duration 3 days
Course Time
Enquiry Please contact ask-iss@nus.edu.sg for more details.

Professionals are expected to turn data into decisions, but most lack the skills to use Generative AI and Large Language Models (LLMs) effectively for business analytics. This 3-day course equips you with the practical ability to perform AI-powered data analysis without coding. You will learn how to frame business problems, apply prompt engineering techniques, and use LLMs to explore, analyse, and visualise data in an integrated workflow. Designed for working professionals and postgraduate learners, the course focuses on real-world applications across industries such as finance, logistics, and public services.

By the end of the course, you will be able to use AI tools to generate business insights from both structured and unstructured data, evaluate model outputs for accuracy and ethics, and apply agentic AI to automate parts of the analytics process. More importantly, you will develop the critical skill of translating AI-generated analysis into actionable business decisions. As organisations increasingly adopt AI for decision-making, this course provides a future-ready capability in AI for business analytics, positioning you to lead in smart and data-driven environments.

Key Takeaways

  • Learn how to frame real business challenges into clear analytics questions and use AI to generate actionable insights.
  • Gain hands-on experience using AI tools to analyse both structured and unstructured data without coding.
  • Design and refine prompts (zero-shot, few-shot, chain-of-thought) to improve accuracy, relevance, and depth of AI outputs.
  • Discover how to use AI agents to streamline workflows, accelerate analysis, and improve decision-making efficiency.
  • Move beyond analysis and learn how to interpret results, validate outputs, and communicate insights that drive strategic decisions.



Who Should Attend

  • Professionals responsible for decision-making who want to leverage AI and data to drive better business outcomes.
  • Individuals who work with data but want to enhance their capabilities using Generative AI and modern analytics tools without coding.
  • Those advising organisations on transformation, innovation, or performance improvement using data and AI.
  • Learners preparing for data-driven roles who want practical, industry-relevant skills in AI-powered business analytics.


What to Bring

No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.

If you are bringing a laptop, please see below for the tech specs:

Minimum

Recommended

Operating Systems

• Windows 7, 8, 10 or
• Mac OS

Laptop running the latest
version of either Windows or
Mac OS

System Type

32-bit

64-bit

Memory

8 GB RAM

16+ GB RAM

Hard Drive

256 GB disk size

Others

• An internet connection – broadband wired or wireless
• Installation permissions (non-company laptops) 
• Keyboard
• Mouse/Trackpad
• Display
• Power adapter (laptop battery might run out)

DirectX 10 graphics card for graphics hardware acceleration





What Will Be Covered

  • Build a strong foundation by learning how to translate real business problems into analytics goals, understand how Generative AI and LLMs work, and explore how agentic AI can enhance decision-making workflows in practice.
  • Develop hands-on mastery of prompt engineering for analytics, from basic techniques to advanced strategies like chain-of-thought so you can consistently generate accurate, high-quality outputs for business analytics.
  • Apply AI models to analyse structured and unstructured data, and learn how to transform AI-generated results into clear, actionable business insights that drive real impact.



Fees & Subsidies

SkillsFuture Singapore (SSG) Funding 2026 (Effective 1 July)

Fee ComponentFull Course FeesSingapore Citizens & PRs Aged 21 Years and Above (70% Funding Support)Singapore Citizens Aged 40 Years and Above (90% Funding Support)Enhanced Training Support for SMEs (ETSS) (90% Funding Support)
Full Course FeeS$2,850.00S$2,850.00S$2,850.00S$2,850.00
SSG Funding-S$1,995.00S$1,995.00S$1,995.00
Nett Course FeeS$2,850.00S$855.00S$855.00S$855.00
9% GST on Nett Course FeeS$256.50S$76.95S$76.95S$76.95
Additional Funding if Eligible Under Various Schemes--S$570.00S$570.00
Total Nett Course Fee Payable, Including GSTS$3,106.50S$931.95S$361.95S$361.95

 

Note:

  1. SSG Funding is available to qualified individuals, subject to meeting the attendance requirement and passing of assessment.
  2. All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
  3. SME fees are applicable only to participants who are sponsored by small and medium enterprises.
  4. SSG funding is subjected to availability.



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Certificate

The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course and pass the required assessments.




Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available to participants.

Venue

NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.




Course Resources

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