Module 1: Customer Segmentation and User Recommender Systems
- Analytics & Tech
- Innovation & Business Improvement
This programme is conducted online.
To use your SkillsFuture Credit, please submit your claim through our payment portal. Do not submit the claim manually via the SkillsFuture page. Please refer to our step-by-step guide here.
Online Intake
3 days
Weeknights (6.30pm - 10:45pm)
Saturday (9am – 6.15pm)
Who Should Attend
Executives, managers, and working professionals who wish to learn how to link, bridge, and translate Python programming of business analytics to the solving of problems in marketing, HR, finance, and policy.
PREREQUISITES
- 1 year of working experience preferred
- Basic experience in Python programming (does NOT necessarily need to complete any certification, diploma, or degree programs beforehand)
Overview
This programme goes beyond basic Python programming, empowering participants with the skills to apply Python's powerful data science toolkit to drive strategic decisions in key business functions like Marketing, Human Resources, and Computational Finance. Through hands-on experience, participants will learn how to leverage analytical tools to make informed decisions and understand computational programming in the execution of analysis.
This module is part of a sequential programme and is not available on a standalone basis.
Learning Objectives
At the end of course, participants will be able to:
- Understand the overarching types of questions in business analytics
- Run clustering algorithms for customer segmentation and journey mapping
- Create recommender systems for personalisation
Assessment
- Group Assignment
Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| EMPLOYER-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$784.80 (After SSG Funding 70%) |
$304.80 (After SSG Funding 70% |
$784.80 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$304.80 (After SSG Funding 70% |
$304.80 (After SSG Funding 70% |
$304.80 (After SSG Funding 70% |
|
International Participant |
$2,616 (No Funding) |
$2,616 (No Funding) |
$2,616 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Employer Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Employers who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
Intake Information
Next Intake: 29, 30 Oct & 1 Nov 2025 [Registration Closed]
This module is part of a sequential programme and is not available on a standalone basis.
