Course Information
This short course provides participants with a practical approach on how data can be used to make business decisions and drive performance using drag-and-drop visual machine learning tools.
Learning Outcomes
- Perform data mining using the Cross-Industry Standard Process for Data Mining (CRISP-DM) model
- Distinguish between Supervised and Unsupervised machine learning techniques and tasks
- Build predictive classification and regression models and evaluate model performance
- Perform parameter tuning, model selection, feature selection techniques to improve model performance
- Apply feature engineering techniques to build simpler and better generalisation models
Course
Schedule
Course Date: TBC
Application Period: TBC
Duration: 5 days
Time: TBC
Delivery Mode: Classroom and Synchronous
Venue: Ngee Ann Polytechnic
This course may be conducted online subject to Covid-19 guidelines.
Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Lesson Plan
This course will be conducted in an interactive manner where participants will be engaged in discussions and hands-on practices using scenarios that were contextualised from real business settings.
- Introduction to machine learning
- Supervised and unsupervised machine learning techniques
- Model evaluation, enhancements and ensemble techniques
Certification
A certificate of Performance will be awarded to participants who achieve at least 75% attendance and pass all required assessment(s).
A certificate of Participation will be awarded to participants who meet the 75% attendance requirement but did not pass all required assessment(s).
Entry Requirements
Basic statistics knowledge preferred but not necessary
Course Fees
Funding period for this course is from 4 Jul 2021 to 31 Dec 2024.
SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory.
Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.
Absentee Payroll
This course is eligible for Absentee Payroll.
Enhanced Training Support
For enhanced training support, enter SME in the promo code during course application.
Long Term Visit Pass Plus (LTVP+) Holders
Please furnish the following documents to the course administrator to qualify for SSG funding:
Self-sponsored learner (**LTVP+): Copy of your green visit pass card, with the word ‘PLUS’ on the back of the card.
Co-sponsored learner (##LTVP+): Copy of valid and current Letter of Consent (LOC) from MOM
GST Increment in 2024
Please note that the GST rate will be revised to 9% with effect from 1 Jan 2024, as such any payable course fees will be subjected to the new GST rate adjustments in 2024.
Note:
- The fees below are determined based on prevailing funding policies and subject to review and revision.
- Please refer to our FAQs for more information.
Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.
| Applicants / Eligibility | Fees |
|---|---|
| Full course fee | $2071.00 |
| Singaporeans aged below 40 qualified for SkillsFuture Funding | $621.30 |
| Singaporeans aged 40 & above qualified for SkillsFuture Mid-Career Enhanced Subsidy | $241.30 |
| Singaporeans qualified for Enhanced Training Support for SMEs | $241.30 |
| Singapore Permanent Residents & **LTVP+ qualified for SkillsFuture Funding | $621.30 |
| Singapore Permanent Residents & ##LTVP+ qualified for Enhanced Training Support for SMEs | $241.30 |
| Others (and Repeat Students) | $2052.00 |