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Course Overview

There has been an unimaginable increase of data in recent years. Some in the organisation may have started crunching the data already. But all the WHAT happened has only been reported in spreadsheets with no true insights provided. That does not help much in management decision. Wouldn’t it be nice to break this deadlock? What if more people can come on board to explain the WHY, WHEN, WHERE, WHAT MIGHT and HOW things happen? How can a culture of analytics be built? How can it be introduced and stay sustainable?


Management plays a pivotal role in driving the direction and strategies of who, what, when, where and how business analytics can be adopted in different parts of the organisation. Learning to better appreciate business analytics can help organisations make better decisions, including understanding their customers better, predicting outcomes, and optimizing resources to achieve the best results.


This course introduces business analytics to the management and allow participants to appreciate the benefits that organization can derive from it. Analytics software tools will also be introduced together with the methodologies used in the process of decision making.

Who Should Attend

This workshop is targeted at executives, managers and decision makers who are keen to adopt a data-driven approach to improving business operations as well as to understand what is involved in a typical data analytics project.

What You'll Learn

By the end of this course, you will be able to:

  1. Gain a quick overview of business analytics and appreciate how organisation can benefit from it
  2. Appreciate the various application areas of analytics with use cases
  3. Appreciate the methodologies used in analytical decision-making
  4. Appreciate the capabilities of analytics software tools


Business Analytics in Modern Digital Age

  • What and Why of Analytics
  • Skill set for Analytics
  • Analytics for Business Decision Making Today

Building an Analytics Culture in Workplace

  • Data Analytics Life cycle
  • Use Cases of Data Analytics
  • Problem Scoping Methodology, Right Skillsets
  • Challenges and Pitfalls of Analytics

Talk by Industry Guest Speakers





Participants who meet at least 75% of the required course attendance and attempt the assessment will be awarded the Certificate of Performance. 

Course Schedule/Apply

Intake Info Application Closing Date Course Duration

Not Available

Not Available

1 day

9.00am - 5.30pm

Registration may be closed earlier due to overwhelming response.


For Corporate training, click here.


Application Procedures


Click on the Apply button above to submit your application online.


Steps to follow in your application: 


Step 1 - Enter NRIC/ Passport No 

Step 2 - Select ZN4 and course commencement date. 

Step 3 - Enter personal, qualification, employment and sponsoring details (if applicable). 

Step 4 - Applicable for 'Stackable based modular course' or 'Diploma or Post-Diploma courses' only. Select, rank your preference for the selected subject(s) and indicate the number of subject(s) you wish to take. Please note that the subject start date(s) denotes the semester start date.

Step 5 - Make declaration and submit online application

Course Fees

Fees Type Course Fees
(w GST) 
Singapore Citizens
Full Course Fee / Repeat Students S$321.00
Aged 40 and above / SME-sponsored S$36.30
Aged below 40 S$96.30
Non-Singapore Citizens
Full Course Fee / Repeat Students S$324.00
Singapore Permanent Residents / Long-Term Visit Pass Plus (LTVP+) Holder S$97.20
SME-sponsored (Singapore Permanent Residents) / Long-Term Visit Pass Plus (LTVP+) Holder) S$37.20

SkillsFuture Credit Approved. For more details, please click here

With effect from 1 Jul 2020, the Workforce Training Scheme (WTS) will be replaced by the Work Support Scheme (WSS), for more information, please visit:

Lecturer/Trainer Profile

Course Contact

  • 67881212
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)
    Temasek Polytechnic
    East Wing, Block 1A, Level 3, Unit 4
    21 Tampines Ave 1
    Singapore 529757


  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel a course with low enrolment.