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Advanced Certificate in Business Analytics for Data-Driven Decision Making (with Python) Module 1: Customer Segmentation and Personalisation

  • Analytics & Tech
  • Innovation & Business Improvement
  • Basic
  • SkillsFuture
  • Full Certificates
  • This module is part of Advanced Certificate in Business Analytics for Data-Driven Decision Making (with Python)

This programme is conducted either online or on-campus.

Next course starts on
To be advised
Fee
SGD2,180* (as low as SGD254 after maximum funding) Learn More
Duration

Online Intake
3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)

On-campus Intake
3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)

Level
Basic

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

A one-size-for-all approach to business no longer works. Segmenting and personalising based on data is one of the most powerful tools available to marketers and product managers today. Organisations should design experiences tailored to their users' individual behavioural, psychographic, demographic and characteristics to surpass competitors and get more customers.

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

Click here for more infomation about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

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%
+ ETSS Funding 20%)

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

(After SSG Funding 70%
+ MCES Funding 20%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$254

(After SSG Funding 70%
+ MCES Funding 20%)

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 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

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)

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Trainers

Dr Sungjong Roh
Assistant Professor of Communication Management
SMU Lee Kong Chian School of Business
Dr Sungjong Roh
Assistant Professor of Communication Management
SMU Lee Kong Chian School of Business
Dr Roh received his Ph.D. at Cornell University and is currently an Assistant Professor at the Lee Kong Chian School of Business at Singapore Management University. Dr Roh has two closely related areas of research and teaching expertise: (a) behavioural decision-making—underlying mechanisms whereby consumers, managers, and investors make judgments and choices, and; (b) computational data science (using Python and R) for business problem-solving. Dr Roh has taught a wide range of courses across multiple disciplines, and workshops on computational data science, data-informed, evidence-based management practices to undergraduate and postgraduate business students, working professionals, and executives. A recipient of multiple teaching awards, including the university-wide "Most Promising Teacher Award" and Specialist Adult Educator (for Curriculum Development) by the SkillsFuture Singapore/ Institute for Adult Learning.

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