About Course
Course Schedule
Course Structure
Entry Requirements
Financial Matters
About Course
Course Objectives
This module introduces the fundamentals of Machine Learning (ML) and its applications. Learners will gain a comprehensive understanding of Machine Learning, augmented with relevant Statistics to provide essential context and background knowledge. Learners will gain exposure to both supervised and unsupervised learning models such as Linear & Logistic Regression, Decision Tree, K-means Clustering and more. Using leading software and associated libraries, learners will be able to implement and train Machine Learning models to address business challenges.Course Description
Machine Learning - Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1) is a 75 hrs module.Target Audience
Machine Learning - Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1) is a 75 hrs module.Course
Schedule
- Registration Period 16 Jun 2025 - 31 Jul 2025
- Course Date 20 Oct 2025 - 31 Mar 2026
- Venue NGEE ANN POLYTECHNIC
- Mode of Training Classroom
- Schedule Info Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Time: 6pm to 10.30pm
Mode of training: Classroom, Synchronous eLearning
Recommended that learners have prior knowledge of Python programming before enrolling in other modules. If learners do not have a background in Python programming, they are encouraged to take Programming for Analytics first.
Course Structure
TPG course reference No.
TGS-2023040957
Machine Learning - Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1)
Entry Requirements
Condition 1
Highest qualification
Polytechnic Diploma or
Condition 2
Highest qualification
Bachelor's Or Equivalent or
Condition 3
Working experience
Full-time; Duration: 1 yearFinancial matters
Course fees payable (incl. GST & excl. supplementary fee)
Description | Machine Learning - Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1) | Total course fee |
---|---|---|
Full Course fee | $2,485.20 | $2,485.20 |
PR Sponsored by SME | $289.56 | $289.56 |
Singapore Citizen Sponsored by SME | $289.56 | $289.56 |
Singapore Citizen Aged 40 & Above | $289.56 | $289.56 |
Long-Term Visit Pass Plus | $745.56 | $745.56 |
Singapore PR | $745.56 | $745.56 |
Singapore Citizen Aged Below 40 | $745.56 | $745.56 |
GST rate
The course fees payable above are inclusive of 9% GST rate.
Payment option
The first payment needs to be made after accepting the offer.
Allowed payment by
The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Important note: All course fees are determined based on prevailing funding policies and subject to review and revision annually.
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Important note: All course fees are determined based on prevailing funding policies and subject to review and revision annually.
Nett Supplementary Fees Payable
- GPA Insurance Fee S$2.11,subject to GST,fees payable S$2.30 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
- Other Fees S$7.43,subject to GST,fees payable S$8.10 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
Refund and withdrawal policy
- Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
- Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
- Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.