Entrepreneurship Development Programmes (English)

Share              

SkillsFuture Series: Machine Learning for Business

coverpage​​​​

Overview


As Dr Vivian Balakrishnan urged on 12 Oct that locals should be equipped with deep expertise and technology in areas such as Artificial Intelligence, Big Data and Machine Learning in order to grasp the new opportunities in these emerging fields. Companies are increasingly adopting Machine Learning technologies to solve business problems.  The management, however, would soon face issues in translating modelling results into real-world business solutions and decisions. It is essential to address such challenges in order to fully realize the benefits of Machine Learning, and subsequently, create business values. In this 3-day course, participants will learn how to leverage Machine Learning technologies and decide issues such as which problems can be solved by using Machine Learning, what techniques can be applied, and how to convert modelling results to actionable insights.  During this course, there will be opportunities to discuss local industry use cases and walk through the end-to-end process of Machine Learning projects in practice.​


Key Takeaways


At the end of the course, participants would be able to gain insights into:

  • State of the art of Machine Learning technologies and the applications in business
  • Machine Learning vs. Data Analysis: Pros and Cons
  • Most frequently used Machine Learning algorithms and when to use them
  • How to leverage Machine Learning methods to solve real world business problems
  • Interpretation and Implementation of modelling results
  • How to lead Data Science projects and pivot the company towards a data-centric organization.

*NTC reserves the right to reserves the right to make changes to the above programme schedule according to the circumstances at any particular time.​


Who should attend?

Business managers, working professionals and entrepreneurs who are not data scientists by training but require data analytics knowledge and skills to understand and solve business problems.​


Programme Fee & Schedule


Full Programme Fee: S$2,940 (w/o GST)

Programme Dates: 30 Nov – 02 Dec 2020

Teaching Mode: synchronous e-learning (NTULearn + ZOOM)​


Fees & Funding


1.   SkillsFuture Series

Funding Type

Subsidy

Criteria

Base Grant

70%
(Capped at ​$13,000)

Singaporean / Singaporean PR Age 21 & Above

Course Fee: $2,940 - $2,058 = $882
GST: $61.74
Full Fee Payable: $882+$61.74 = $943.74

Mid-Career
Enhanced Subsidy
(MCES)

90%
(Capped at $13,000)

Singaporea​​n ​Age 40 & Above

Course Fee: $2,940 - $2,646 = $294
GST: $61.74
Full Fee Payable:  $294+$61.74 = $355.74

Enhanced Training Support
For SMEs (ETSS)

90%
(Capped at $13,000)

Singaporean / Singaporean PR who is SME Sponsored 

Course Fee: $2,940 - $2,646 = $294
GST: $61.74
Full Fee Payable:  $294+$61.74 = ​$355.74

 

2.   SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits (up to S$500) 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. Applications via 
MySkillsFuture.sg must be made within 60 days before course commencement. Please click here for the user guide on how to submit your claim.

From 1 April 2020, a one-off 
SkillsFuture Credit top-up of $500 will be provided to every Singapore Citizens aged 25 years and above as at 31 December 2020. This top-up will expire on 31 December 2025. Eligible Singaporeans can now start using their one-off credit top-up to offset the full fee payable.

3.   Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll via the SkillsConnect system. For more information, please visit SkillsConnect. 

4.   NTU Alumni Course Credit
From 1 July 2019, NTU alumni may utilise their course credits of S$1,600.00 to co-pay up to 50% of the nett fee (exclusive of prevailing GST) payable for courses with starting date from 1 July 2019 onwards. There will be no administrative fee involved for the use of NTU Alumni Course Credits on courses with starting date from 1 July 2019 onwards. For more information, please visit 
here

5.   SEP Training Allowance

Leveraging the Government’s Self-Employed Person (SEP) Support Scheme and co-funded by the Government and NTUC, the NTUC Training Fund (SEPs) now allows SEPs to earn as they train.  It also aims to support SEPs in deepening and/or acquiring new competencies during this lull period, in preparation for when the economy picks up and new opportunities arise. For details, please click HERE​.


Course Assessment

An online assessment will be conducted at the end of the course.​

*Updated on 19 Oct 2020 
​​