Driving Trade & Business with Data Analytics

Offered by School of Business & Accountancy

Short Course / 1 day / TGS-2020502915

Course Information
Learning Outcomes
Course Schedule
Trainer Profile
Entry Requirements
Course Fees

Course Information

(under the Wholesale Trade Industry Digital Plan)

Learning Outcomes

Businesses today generate voluminous amounts of data. With increasing use of automation technologies, organizations’ digital data assets, through their end-to-end business process, will grow by an order of magnitude. Insights into a businesses’ underlying data can be covered with the help of appropriate analytics tools, techniques through organization, aggregation and analysis of the myriad data.

This course will cover the fundamental concepts of data, data organization and data cleansing to create datamarts and data warehouses. It will introduce tools and techniques for data exploration, explanation and analyses such as data modeling, visualization and storytelling in the context of business applications. The concept of predictive analytics will be explored through the CRISP-DM model, the predictive modeling process, testing and validation of predictive models and application of predictive analytics to different types of businesses.


Course Date: TBC
Application Period: TBC
Duration: 1 day
Time: 9am to 6pm
Delivery Mode: Synchronous e-Learning
Venue: Online

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Trainer's Profile

Lim Shee Chee

Senior Lecturer in Ngee Ann Polytechnic, School of Business and Accountancy.

Professionally, he is a trained Systems Analyst and has provided IT consultancy to a wide range of businesses. He also developed the Specialist Diploma in Consumer & Performance Analytics for the CET academy, which has been running for the last 3 years.


In-class assessments.

Certificate of Performance will be awarded to participants

who achieve at least 75% attendance and pass assessments.

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

Professionals and managers who want to gain insights into the use of data analytics and predictive analytics for businesses

Course Fees

Funding period for this course is from 31 Jul 2019 to 30 Sep 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.

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.


(Course fee is payable upon acceptance. It is inclusive of 8% GST and subject to review.)

Please note that the GST rate will be revised to 8% with effect from 1 Jan 2023, as such any payable course fees will be subjected to the new GST rate adjustments in 2023.

Please refer to our FAQs for more information.

Applicants / Eligibility Fees
Full course fee$302.40
Singaporeans aged below 40 qualified for SkillsFuture Funding $89.88
Singaporeans aged 40 & above qualified for SkillsFuture Mid-Career Enhanced Subsidy$33.88
Singaporeans qualified for Enhanced Training Support for SMEs$33.88
Singapore Permanent Residents & **LTVP+ qualified for SkillsFuture Funding $90.72
Singapore Permanent Residents & ##LTVP+ qualified for Enhanced Training Support for SMEs $34.72
Others (and Repeat Students)$302.40