About Course
Course Structure
Financial Matters
Course Schedule
About Course
Course Objectives
The purpose of this course is to equip participants with a baseline competency in data analytics and use the skills to undertake simple data analytics projects individually or support a function with a data analytics team.Course Description
In this online course, participants will acquire the essential knowledge of statistics and linear algebra so as to understand the mathematics behind algorithms used in data science and make accurate analysis and meaningful recommendations.Course Structure
TPG course reference No.
TGS-2021003748
Mathematics for Data Analytics (Asynchronous E-Learning)
Financial matters
Course fees payable (incl. GST & excl. supplementary fee)
| Description | Total course fee | |
|---|---|---|
| Full Course fee | $981.00 | $981.00 |
| Enhanced Training Support for SMEs for Singapore Citizen | $114.30 | $114.30 |
| Enhanced Training Support for SMEs - SPR & LTVP+ | $114.30 | $114.30 |
| SkillsFuture Mid-Career Enhanced Subsidy for Singapore Citizen aged 40 and above | $114.30 | $114.30 |
| SkillsFuture Baseline Funding for Singapore Citizen Aged Below 40 | $294.30 | $294.30 |
| SkillsFuture Baseline Funding for SPR/LTVP+ | $294.30 | $294.30 |
GST rate
The course fees payable above are inclusive of 9% GST rate.
Payment option
The payment needs to be made upon the application is submitted.
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).
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
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.
Course
Schedule
Duration: 16 hours
Delivery Mode: Asynchronous e-Learning
Venue: Online
Schedule may subject to changes. Detailed timetable will only be release upon enrolment and nearer to course commencement date.
Delivery Mode: Asynchronous e-Learning
Venue: Online
Schedule may subject to changes. Detailed timetable will only be release upon enrolment and nearer to course commencement date.