Data Analytics for Smart Manufacturing

TGS-2020502966

NUS Business School

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Objectives

Upon completion of the course, participants will be able to: 1. Understand the role of data science and particularly data analytics in solving business problems 2. Learn machine-learning approaches in processing structured and unstructured data 3. Tell a data story using contemporary visualisation tools 4. Define and scope data analytics problems 5. Process and prepare data sets for analytics purposes 6. Apply data analytics in supervised and unsupervised learning



Who Should Attend

- Project Managers - IT Managers - Software Engineers - Programmers - Data Analysts




Entry Requirements

Bachelor Degree




Class Schedule

Tuesday (6:00PM-9:00PM)




Tutorial Schedule

Same day as Lecture




Lesson Delivery

a) Facilitated Learning: 39 hours b) Project: 13 hours c) Assessment: 2 hours




Full Fees (before GST)

S$5400.00




Nett Fees payable after SSG Funding



International Participant Singapore Citizen 39 years old or younger Singapore Citizen 40 years or older eligible for MCES Singaporean PRs Enhanced Training Support for SMEs
Full Programme Fee S$5400.00 S$5400.00 S$5400.00 S$5400.00 S$5400.00
SSG Funding *
Eligible for Claim Period 1 Oct 2024 to 30 Sep 2027
- S$3780.00 S$3780.00 S$3780.00 S$3780.00
Nett Programme Fee S$5400.00 S$1620.00 S$1620.00 S$1620.00 S$1620.00
9% GST on Nett Programme Fee S$486.00 S$145.80 S$145.80 S$145.80 S$145.80
Total Nett Programme Fee Payable, Incl. GST S$5886.00 S$1765.80 S$1765.80 S$1765.80 S$1765.80
Less Additional Funding if Eligible Under Various Scheme - - S$1080.00 - S$1080.00
Total Nett Programme Fee, Incl. GST, after additional funding from the various funding schemes S$5886.00 S$1765.80 S$685.80 S$1765.80 S$685.80
*   Learners must pass all assessment components to be eligible for SSG funding. Please note that all external funding for courses is limited in duration and subject to availability.

** Please note that the mode of delivery is subject to change in light of the COVID-19 situation. Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.

Last updated: 06 September 2024

Upcoming Course Dates
TBC

Delivery Mode**
Face-to-Face

Course Code
DOS5022

Funding Type
SSG Funding
Eligible for SkillsFuture Credit (SFC)
Alumni eVoucher (L3)

Type
Modular Course

Stacks/ Bundles to
NA

Audit/Graded
Graded

Area of Interest
Data Analytics