Advanced Certificate in Business Analytics for Data-Driven Decision Making (with Python) Module 3: Programme Evaluation and Causal Inference

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 online.

Next course starts on

To be advised

Fee

SGD2,180* (as low as SGD254 after maximum funding) Learn More

Duration

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

In any organisation, strategic decision makers commonly face questions about the impact of a certain strategy on their target groups of people. This requires expertise in causal inference. It is notable, however, that causal inference is often missed in a Python course on computational business analytics.

Causal inference can be used to make information that can help improve user experience and generate business decisions by knowing its impact on the business.

In this module, participants will learn when business analytics require casual inference, how to execute in Python, and how to interpret the results. Additionally, they will also learn the logic of causation, fundamentals of A/ B testing and analysis, and econometric methods for analysing causality in naturally arising data.

This module is part of a sequential programme and is not available on a standalone basis.

Learning Objectives

Explain the meaning of causation and directed acyclic graphs (DAGs)
Identify major threats to causal inference and program evaluation
Run statistical models for A/B tests data
Execute econometric analyses (Difference-in-Differences, Regression Discontinuity, Instrumental Variable, and Matching)

Topic/Structure

Causal Models, DAGs, and Threats to Validity
Randomisation and Matching
Difference-in-Differences
Regression Discontinuity
Instrumental Variable
Regression Discontinuity and Instrumental Variable Revisited
Review of Regression Discontinuity and Instrumental Variable

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%
+ 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

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 5: 20, 23 & 25 May 2024 [Registration Closed]
Intake 6: 16, 17 & 19 Oct 2024 [Registration Closed]
This module is part of a sequential programme and is not available on a standalone basis.