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 On20 Aug 2019 (Tue) 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
 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

SINGAPORE CITIZENS BELOW 40 years old / PERMANENT RESIDENTSIndividual or Non-SME Sponsored$513.60*
Sponsored by SME1$193.60*
SINGAPORE CITIZENSAged 40 and above2$193.60*
Aged 35 and above, and earn <=$2,000 per month3$113.60*
OTHERS $193.60*

* includes 7% GST

** Singapore Citizens aged 25 and above may use their SkillsFuture Credit to offset respective course fees
Up to 90% course fee funding for employees of SMEs under Enhanced Training Support for SMEs ("ETSS")
Up to 90% course fee funding under SkillsFuture Mid-Career Enhanced Subsidy ("MCES")
Up to 95% course fee funding under Workfare Training Support Scheme ("WTS")

Funding Incentives

1. SkillsFuture Series

Singapore Citizens or Singapore Permanent Residents are eligible for 70% course fee funding (excluding GST) for successful enrolment into approved courses under the Programme. This funding is applicable to both individual and company sponsored participants.

Singapore Citizens aged 40 and above will enjoy 90% course fee funding (excluding GST).

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 must be made within 60 days before course commencement. Please click here for the user guide on how to submit your claim.

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.


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 (Completed)
INTAKE 74 - 5 December 2018 (Completed)
INTAKE 85 - 6 December 2018 (Completed)
Intake 929 - 30 January 2019 (Completed)
INTAKE 1026 - 27 March 2019 (Completed)
INTAKE 1116 - 17 April 2019 (Fully Subscribed)
INTAKE 1220 - 21 August 2019 (Open for Registration)


Speaker/Trainer Bio

Dr. Michelle Cheong
Associate Professor of Information Systems
Associate Dean, SIS Post-Graduate Professional Education
Singapore Management University

Prior to joining SMU, Dr. Michelle Cheong had 8 years of industry experience leading teams to develop complex IT systems which were implemented enterprise-wide covering business functions from sales to engineering, inventory management, planning, production, and distribution.

She joined SMU in 2005 where she teaches the Business Modeling with Spreadsheets course at the undergraduate and master levels. She is the co-author of a book on the same topic. Michelle was instrumental in designing and launching the Master of IT in Business (Analytics) programme in January 2011, which is the first Analytics master’s programme in Asia. The programme remains the leading one of its kind today. She also designed and teaches the Operations Analytics course in the MITB (Analytics) programme, and several executive courses in Data Analytics for other programmes including Master of Science in Communication Management, IE-SMU MBA, and Master of Science in Innovation.

Dr. Kam Tin Seong
Associate Professor of Information Systems (Practice)
Singapore Management University


Dr Kam Tin Seong is Associate Professor of Information Systems (Practice) at the School of Information Systems, Singapore Management University. He is also a faculty member of the Master of IT in Business (Analytics) programme, Asia’s first professional master programme which teaches professionals with a background in Computer Science, Information Systems, IT, Engineering or the Sciences on the use of data analytics to create value and develop a sustained competitive advantage in their organization. Dr Kam has more than twenty years of experience in both the analytics industry as well as academia. His teaching and research interests are in data analytics, customer analytics, data visualization and interactive analytics, and geospatial analytics.

Dr Kam is active in consulting work as well as executive training in data visualisation, data analytics, customer analytics, GIS and geospatial analytics for government agencies and companies. Some organisations that he consulted or conducted training programmes for include P&G, Citibank, Standard Chartered Bank, DBS, OCBC, UOB, Alexandra Health Institute, Jurong Health Services, Health Promotion Board, Ministry of Home Affairs, Ministry of Finance, Ministry of Manpower, United Nations Centre for Regional Development, Asia Development Bank, Japan-Indonesia Forum (JIF), PT. Freeport, Brunei Shell Petroleum, UNOCAL Thailand, and ConocoPhillips, Indonesia.


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