Advanced Certificate in Business Analytics for Data-Driven Decision Making (with Python) Module 1: Customer Segmentation and Personalisation
- Analytics & Tech
- Innovation & Business Improvement
This programme is conducted either online or on-campus.
Online Intake
3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
On-campus Intake
3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
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
Unsupervised machine learning algorithms such as K-Means clustering and hierarchical clustering are typically used by data scientists to develop customer segmentation models.
Participants will gain a better understanding of what conditions require segmentation and personalisation of customers, and how to apply computational business analytics to this process.
This module is part of a sequential programme and is not available on a standalone basis.
Learning Objectives
- Understand the overarching types of questions in business analytics
- Run clustering algorithms for customer segmentation and journey mapping
- Create recommender systems for personalisation
Topic/Structure
- Introduction and Programme Overview
- Mapping Types of Business Analytics Questions
- Customer Segmentation with Clustering
- Introduction to unsupervised machine learning with K-means and hierarchical clustering
- Data-Driven Customer Journey Mapping
- Market Basket Analysis
- Recommender Systems Part 1—Collaborative Filtering
- Recommender Systems Part 2—Content-based Filtering
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
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$654 (After SSG Funding 70%) |
$254 (After SSG Funding 70% |
$654 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
|
International Participant |
$2,180 (No Funding) |
$2,180 (No Funding) |
$2,180 (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.
Company 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 will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies 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
Intake 7 (Online Intake): 19, 20 & 22 Feb 2025 [Open for Registration]
Intake 8 (On-campus Intake): 5, 6 & 8 Feb 2025 [Open for Registration]
This module is part of a sequential programme and is not available on a standalone basis.
