Advanced Diploma in Python Programming and Machine Learning
- Analytics & Tech
- Artificial Intelligence
- Innovation & Business Improvement
This programme is conducted online.
Please refer to respective modules for dates.
Part 1: Professional Certificate in Python Programming
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
Part 2: Professional Certificate in Machine Learning (Python)
Weeknights (7pm - 10.30pm)
Saturdays (9am - 6pm)
Who Should Attend
- Data science professionals
- Professionals interested in data science programming, machine learning and artificial intelligence
- Managers looking into costs and performance hurdles in predictive modelling
- Professionals looking for a deeper understanding and hands-on experience with professional educators who are also industry experts
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
Python is a complete open-source language and platform that are used for both research and development and developing production systems. It is also a minimalistic and intuitive language with a full-featured library line which provides multiple ways to execute each task and significantly reduces the time required to gather results. This programme will enable participants to perform automated analyses and interpret business interactions to take evidence-based actions.
Learning Objectives
Upon completing the programme, graduates will acquire knowledge and appreciate the fundamental concepts in programming, use of functions and data structure in Python, Object-oriented programming paradigm, basic data wrangling in Python, and applied data analysis using Python.
Graduates will demonstrate their understanding through the application of common statistical data analysis and visualisation techniques using Python. In addition, graduates will develop supervised and unsupervised machine learning models and complete the programme with two capstone projects.
Topic/Structure
Part 1: Professional Certificate in Python Programming
- Basics of Python Programming
- Data Structures in Python
- Advanced Functions and Data Structures in Python
- Object-Oriented Programming in Python
- Basic Data Wrangling in Python
- Capstone Project in Data Analytics
Part 2: Professional Certificate in Machine Learning (Python)
- Introduction to Python Programming
- Statistical Thinking and Exploratory Data Analysis
- Basic Concepts in Data Modelling
- Advanced Concepts in Data Modelling
- Practical Concepts in Supervised Machine Learning
- Practical Concepts in Unsupervised Machine Learning
Calculate Programme Fee
Fee Table
COMPANY-SPONSORED | |||
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$6,278.40 (After SSG Funding 70%) |
$2,438.40 (After SSG Funding 70% |
$6,278.40 (After SSG Funding 70%) |
Singapore Citizen ≥ 40 years old |
$2,438.40 (After SSG Funding 70% |
$2,438.40 (After SSG Funding 70% |
$2,438.40 (After SSG Funding 70% |
International Participant |
$20,928 (No Funding) |
$20,928 (No Funding) |
$20,928 (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
Part 1: Professional Certificate in Python Programming
Modules | Intake 43 | Intake 44 |
---|---|---|
Basics of Python Programming | 17, 19 & 21 Sep 2024 [Registration Closed] | 5, 7 & 9 Nov 2024 [Registration Closed] |
Data Structures in Python | 8, 10 & 12 Oct 2024 [Registration Closed] | 26, 28 & 30 Nov 2024 [Open for Registration] |
Advanced Functions and Data Structures in Python | 5, 7 & 9 Nov 2024 [Registration Closed] | 17, 19 & 21 Dec 2024 [Open for Registration] |
Object-Oriented Programming in Python | 26, 28 & 30 Nov 2024 [Registration Closed] | 7, 9 & 11 Jan 2025 [Open for Registration] |
Basic Data Wrangling in Python | 17, 19 & 21 Dec 2024 [Registration Closed] | 4, 6 & 8 Feb 2025 [Open for Registration] |
Implementing Capstone Projects in Data Analytics in Python | 7, 9 & 11 Jan 2025 [Registration Closed] | 25, 27 & 1 Mar 2025 [Open for Registration] |
Part 2: Professional Certificate in Machine Learning (Python)
Modules | Intake 22 | Intake 23 |
---|---|---|
Introduction to Python Programming | 9, 11 & 13 Jul 2024 [Registration Closed] | 5, 7 & 9 Nov 2024 [Registration Closed] |
Statistical Thinking and Exploratory Analysis | 30 Jul, 1 & 3 Aug 2024 [Registration Closed] | 26, 28 & 30 Nov 2024 [Open for Registration] |
Basic Concepts of Data Modelling | 20, 22 & 24 Aug 2024 [Registration Closed] | 17, 19 & 21 Dec 2024 [Open for Registration] |
Advanced Concepts of Data Modelling | 10, 12 & 14 Sep 2024 [Registration Closed] | 7, 9 & 11 Jan 2025 [Open for Registration] |
Practical Concepts in Supervised Machine Learning | 1, 3 & 5 Oct 2024 [Registration Closed] | 4, 6 & 8 Feb 2025 [Open for Registration] |
Practical Concepts in Unsupervised Machine Learning | 22, 24 & 26 Oct 2024 [Registration Closed] | 25, 27 & 1 Mar 2025 [Open for Registration] |