Data Analytics for Managers

Programme Code: CRS-N-0044720


Data analytics have been touted as the most important technology which will bring organizations to their next frontier.

Many success stories have been shared on how data analytics can help organizations make better decisions, including understanding their customers better, predicting outcomes, understanding public sentiments on the social media, and optimizing resources to achieve the best results.


Managers who are leading their organizations have to play the lead role in shaping the direction and planning the strategies on who, what, when, where and how should data analytics be applied in the different parts of the organization.


The proposed training is designed for managers covering several topics in the Data Analytics area. The training will be conducted by the senior faculty members from the School of Information Systems, who are experts in their respective areas.

Next Course Starts On22 Oct 2018 (Mon) See Full Schedule
Fee SGD1712.00* (as low as SGD193.60* after maximum funding) Learn more

2 days



Learning Objectives
  • Gain a quick overview of data analytics
  • Understand the solution flow to solve data analytics problems
  • Acquire data analytics techniques and learn how to use related tools through hands-on sessions
  • Gain insights into data mining, social network analysis and operations optimisation 


S/NTopicsSample Data and Problem SetsSoftware Tools
1Introduction to Data Analytics  

Visual Analytics for Data Discovery

  • Principles and concepts of visual analytics
  • Interactive data exploration and analysis approach (IDEA)
  • Designing interactive graphics for data discovery
  • Visualising and analyzing geospatial data
  • Geospace
  • MyTransport.SG Data Mall
  • Kaggle
Tableau 2018

Data Analytics Techniques

  • Data analytics lifecycle
  • Unsupervised statistical learning techniques
  • Predictive analytics
  • Pros and cons of each technique
  • Select the best technique
  • Train, test and validate model
  • Results assessment and interpretation
  • Data analytics technologies: commercial off-the-shelf (COTS) vs open source
 RapidMiner or JMP Pro

Prescriptive Analytics - Optimisation

  • Optimisation theory
  • LP, IP, MIP, BIP
  • Model formulation
  • Solver definition
  • Heuristic algorithm
  • Police patrol problem
  • Nurse scheduling problem
MS Excel with Solver add-in



Who Should Attend

Managers covering/ leading analytics functions.


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

Fees and Funding

SkillsFuture Series 

Course fee grant at 70% of course fees (excluding GST) for participants who are successfully enrolled by SMU into approved courses under the Programme. Participants must be Singapore Citizens or Singapore Permanent Residents.

SkillsFuture Mid-Career Enhanced Subsidy ("MCES")
Up to 90% of course fees for Singapore Citizens aged 40 years and above

Enhanced Training Support for SMEs ("ETSS")
Up to 90% of course fees for employees of SMEs who are Singapore Citizens or Permanent Residents

Workfare Training Support Scheme ("WTS")
Up to 95% of course fees for Singapore Citizens aged 35 years and above (13 years and above for persons with disabilities) earning a monthly income of not more than S$2,000.

SkillsFuture Credit
Singapore Citizens aged 25 and above, and self-funding may use their SkillsFuture Credit (up to S$500) to defray part of the course fee. Please click User Guide on how to submit your claim. SkillsFuture Credit claims may be submitted by logging in via

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.


Full Fee: S$1,712 per pax (including GST)


Nett fee payable after SkillsFuture Singapore (SSG) Funding for Individuals:

  • S$513.60 (including GST of $33.60) for Singapore Citizens and Singapore Permanent Residents
  • S$193.60 (including GST of $33.60) for Singapore Citizens aged 40 years and above


Start Date(s)
Intake Information
INTAKE 329-30 January 2018 (Completed)
INTAKE 49-10 April 2018 (Completed)
INTAKE 513-14 August 2018 (Completed)
INTAKE 622-23 October 2018 (Fully Subscribed)

Please send us an email at if you would like to be notify when the date of the next course run is confirmed.


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