Advanced Certificate in Applied Data Analytics Module 2: Avoiding Pitfalls in Business Analysis through Model Specification (Synchronous e-Learning)
- Analytics & Tech
- Innovation & Business Improvement
This programme is conducted online.
3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 6:00pm)
Who Should Attend
- Data science professionals
- Managers looking to explore predictive modelling
- Those interested in learning and applying advanced data analysis techniques
PREREQUISITES
- Experience in Python programming (equivalent to that attained in Professional Certificate in Python Programming programme)
SYSTEM REQUIREMENTS
- Functional Laptop: (1) CPU must be of at least intel core I3, (2) GPU must have an integrated graphics card and (3) RAM must be of at least 4GB
Overview
Participants in this programme will examine various ways in which linear models can be found in specific data contexts. Modern techniques like shrinkage estimators and non-linear modelling will also be introduced to mitigate the deficiencies of plain linear models in an applied setting.
This module is part of a sequential programme and is not available on a standalone basis.
Learning Objectives
- Understanding the need for alternative modelling techniques like shrinkage estimation and Decision Trees to address the deficiencies of Linear modelling
- Application of alternative modelling methods to iterate upon and improve the inference and prediction performance of a previous linear modelling step
Topic/Structure
- Use data visualisation and error analyses to identify issues with linear models for a given modelling situation
- Use of Linear models, shrinkage estimators and Decision Trees as numerical alternatives to performing Exploratory Data Analysis
Assessment
- Individual assessment
CERTIFICATION
Upon meeting the attendance and assessment criteria, participants will be awarded a digital certificate for participating in each module. Please refer to our course policies to view the attendance and assessment criteria.
Upon completion of all modules required for this programme within a maximum duration of 3 years, participants will be awarded a digital certificate.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$523.20 (After SSG Funding 70%) |
$203.20 (After SSG Funding 70% |
$523.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$203.20 (After SSG Funding 70% |
$203.20 (After SSG Funding 70% |
$203.20 (After SSG Funding 70% |
|
International Participant |
$1,744 (No Funding) |
$1,744 (No Funding) |
$1,744 (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 11: 30, 31 Jul & 3 Aug 2024 [Registration Closed]
Intake 12: 22, 23 & 26 Oct 2024 [Registration Closed]
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