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Professional Certificate in Machine Learning (Python): Module 2 - Statistical Mastery for Machine Learning and Artificial intelligence (AI) Success

  • Analytics & Tech
  • Artificial Intelligence
  • Innovation & Business Improvement
  • Intermediate
  • SkillsFuture
  • Full Certificates
  • This module is part of Professional Certificate in Machine Learning (Python)

This programme is conducted on-campus.

Next course starts on
To be advised
Fee
SGD2,616* (as low as SGD304.80 after maximum funding) Learn More
Duration

3 days
Weeknights (6.30pm - 10:45pm)
Saturday (9am – 6.15pm)

Level
Intermediate
Venue

Singapore Management University

Who Should Attend

  • Professionals and managers in data science, engineering, or IT seeking to upskill in machine learning and AI
  • Individuals transitioning into machine learning roles who have basic Python or programming experience
  • Industry practitioners looking to understand and implement AI-driven solutions for business challenges
  • Analysts or researchers aiming to apply ML/ AI techniques to data-driven decision-making processes

PREREQUISITES

  • Basic programming knowledge is recommended to enrol for this 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

This module builds a strong foundation in statistical concepts essential for powering machine learning and artificial intelligence applications.

Participants will learn how to apply descriptive and inferential statistical techniques to real-world datasets, ensuring data integrity and actionable insights. By addressing critical topics such as data distribution, hypothesis testing, and bootstrapping, this module equips participants with the skills needed to handle data variability, identify patterns, and make informed decisions for Artificial Intelligence success. The focus is on practical applications, allowing participants to bridge the gap between theory and real-world problem-solving.

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

Learning Objectives

  • Apply descriptive and inferential statistics to summarise and interpret datasets
  • Use probability distributions to understand and model real-world phenomena
  • Perform hypothesis testing to validate data-driven decisions
  • Address data analysis violations such as biases and assumptions
  • Data techniques to handle small or misbehaving datasets

Topic/Structure

  • Overview of Descriptive and Inferential Statistics
  • Data Techniques for Summarising Datasets
  • Introduction to Probability Distributions and Applications of data distributions
  • Hypothesis Testing and Parameter Estimation and Validating decisions with statistical tests
  • Addressing Bias and Violations in Data Analysis and Bootstrapping for Small or Misbehaving datasets 

Assessment

  • Classroom exercises
  • Group assignments
  • 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

Click here for more information 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+

$784.80

(After SSG Funding 70%)

$304.80

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

$784.80

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$304.80

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

$304.80

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

$304.80

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

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.

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 Jack Hong
Data Science Advisor
Vertex Holdings
Dr Jack Hong
Data Science Advisor
Vertex Holdings

Dr Jack Hong is an expert in end-to-end Artificial Intelligence (AI) applications. He is currently the Data Science advisor to Vertex Holdings (a subsidiary of Temasek Holdings) and AI advisor to Certis Group’s Centre for Applied Intelligence. Dr Hong creates proprietary business capabilities in these roles using cutting-edge research and engineering skill sets in analytics, natural language programming, computer vision, and reinforcement learning. He also leads Research Room, an AI consulting and development outfit that delivers complex decision-making solutions for large organisations. Dr Hong is an adjunct faculty with SMU and has been teaching undergraduate and postgraduate programmes (Digital transformation, python programming, data science, and financial economics) since 2014. Dr Hong’s research interests lie in developing new deep learning models that can solve challenging business problems.

Dr Ke Jinghao
Director
JCube Institute
Dr Ke Jinghao
Director
JCube Institute

Dr Ke is a recognised expert in AI, finance, and business analytics, with a Ph.D. in Business (Finance) from Singapore Management University. He is Director of JCube Institute, specialising in professional training in data science and digital transformation, and Metaskills Institute, focusing on upskilling in fintech and emerging technologies. He also serves as Chief Corporate Officer at Integrum Global, leading AI solutioning, consultancy, and startup incubation, and is Director of the Singapore Vietnam Business Bridge (SVBB), supporting cross-border business development. 

Over the past decade, Dr Ke has delivered numerous commercial AI and analytics projects, including digital curriculum design, recommendation engines, and business intelligence systems for MNCs. He has advised corporates, governments, and universities on data-driven strategy, financial technology, and AI adoption. 

His leadership has fostered strong partnerships across Southeast Asia, especially through his involvement with the Vietnam Chamber of Commerce in Singapore and SVBB. These collaborations have enabled high-impact ventures in Fintech, sustainability, and digital transformation. 

An adjunct faculty member at Singapore Management University, Dr Ke brings practical insights into executive education and academic programs, blending industry experience with pedagogical rigour.

Evelyn Wong
Certified Lean Six Sigma Green Belt and Certified Scrum Master
NA
Evelyn Wong
Certified Lean Six Sigma Green Belt and Certified Scrum Master
NA

Evelyn currently leads infinuem as a Data Governance Specialist to play a pivotal role in participating in data governance initiatives, develop and implement data governance frameworks, policies, standards and roles. Besides being adept in software development, data analysis, machine learning, natural language programming and applications, Evelyn has an extensive background in corporate functions, including Compliance, Business Development, Sales & Marketing and Project Management at 3M and Agilent Technologies. Evelyn is also a Certified Lean Six Sigma Green Belt and Certified Scrum Master. She is well-versed in applying the advanced elements of the Lean Six Sigma, Agile and Scrum Methodologies in any organisation. Evelyn's professional education includes certifications in IT service management, enterprise architecture, and algorithmic trading, further underscoring her commitment to continuous learning and excellence in her field.

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