Business Applications Relying on Supervised Learning

Dates: 19 Jun, 20 Jun 2023 | 9am – 5.30pm | Classroom Learning

Duration: 2 Days

Course Overview

This course helps learners understand how to apply supervised learning techniques to business applications. Topics such as different supervised learning techniques, business applications and case studies, build and evaluate the predictive models using real-life business datasets will be covered.

This module is part of Professional Certificate in Machine Learning for Business.

Course Objectives

At the end of this course, learners will be able to:

  • Understand several useful supervised learning techniques, e.g. decision tree, linear regression and neural networks
  • Apply supervised learning techniques to solve real-life business problems, e.g. fraud detection and regression analysis
  • Identify the business problem, build supervised learning models, compare the model performance and finalise the business solution

Who Should Attend

Executives, Developers, Designers and Managers in Information Technology related fields, business development, strategic planning and operations.


Minimum Diploma in IT or related fields. 

Course Convener

(Click their photos to view their short biographies)

ddddd Ai Xin

Dr Ai XinDr Ai Xin

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email

To register, click Register

Course Code:
TGS-2022015670 (Classroom Learning) / TGS-2022016044 (Synchronous e-learning)

For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants