Certified Data Analytics (R) Specialist – Introduction to Data Visualisation (using R programming)


Effort spent on data analytics often finds success leading to innovation—which can reshape industries—when the outcome of the data analysis is transformed effectively to visuals. Without convincing internal and external stakeholders with a compelling display of analysed data, the evidentiary value of information cannot drive changes amongst the stakeholders.


Run 1: 1-3 November 2018 [FULLY SUBSCRIBED] 
Run 2: 3-5 January 2019 [FULLY SUBSCRIBED] 

Run 3: 24-27 April 2019 [FULLY SUBSCRIBED] 
Run 4: 2-4 May 2019 [FILLING FAST] 


This course introduces participants to the principles of data visualization, along with hands-on lessons on tools during which participants can implement the principles learned. Participants will establish the introductory skillsets to R programming to visualize given datasets to gain insights into managerial decisions for competitive advantage.

Next Course Starts On03 Jan 2019 (Thu) See Full Schedule
Fee SGD1712.00* (as low as SGD113.60* after maximum funding) Learn more

2 weekday evenings and a full Saturday (15 hours)

Learning Objectives

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

• Understand the functions and methods of effective visualization of quantitative information

• Run data visualization techniques offered by R base (e.g., dot plot, box plot, scatter plot, line chart)

• Make decisions about which data visualization techniques and methods to utilize for given questions and variables of datasets

Work towards a bigger goal

This module is part of:

Certified Data Analytics (R) Specialist

Learn more

Who Should Attend

  • Managers, Data Analysts, Professionals, Executives involved in the analysis, interpretation and presentation of data for decision making across various business functions such as marketing, customer service, corporate communications; or
  • Data Scientists who are familiar with basics in R programming and would want to learn how to perform web scraping from multiple webpages using packages in R (Phone interview required to ascertain that candidate has basic knowledge in R)



•In-class group work

•Individual assessment

Learning Activities

Instructional Methods and Learning Activities

Lectures, Discussions, Case Studies

Fees and Funding

Total Nett programme fee (self-sponsored)

  • S$1,712 (after GST) for non-Singaporean Citizens and non-PRs
  • S$513.60 (after GST) for Singaporeans below 40 and Permanent Residents
  • S$193.60 (after GST) for Singaporeans age 40 and above
  • S$113.60 (after GST) for Singaporeans on Workfare Training Support (WTS)
  • SME sponsored Singaporeans/PRs (non-WTS) only need to pay only S$193.60 (after GST) per pax.

All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to offset the Total Nett Programme Fee.


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; and 80% of basic hourly salary capped at $7.50/hr for local employees of SMEs

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 MySkillsFuture.sg.


SkillsFuture Course Code*: CRS-N-0044901


SkillsFuture Course Name*: Introduction to Data Visualisation (using R programming)


* Important Note: Participants claiming SkillsFuture credits should locate the course in Training Exchange using the Course Code / Name


Start Date(s)
Intake Information

Course dates:

Run 1 :[FULL]

1 Nov 2018, 

2 Nov 2018,

3 Nov 2018

Run 2 :[FULL]

3 Jan 2019, 

4 Jan 2019,

5 Jan 2019


Run 3 :[FULL]

24 Apr 2018 (Wed), 

25 Apr 2018 (Thu),

27 Apr 2018 (Sat)


2 May 2019 (Thu),

3 May 2019 (Fri),

4 May 2019 (Sat)

Speaker/Trainer Bio

Dr. Sunjong Roh

Assistant Professor in Corporate Communication

Lee Kong Chian School of Business

Dr. Roh received his Ph.D. at Cornell University and is currently an Assistant Professor in the Lee Kong Chian School of Business at Singapore Management University. Investigating the principles of human judgment and decision-making, his research seeks to create actionable interventions with impact to create cognitive and behavioural changes in relation to most pressing issues of society and organizations.

His recent scientific work involves design and analysis of randomized experiments and computerized text mining using programs such as R, Python, and LIWC. Dr. Roh also studies how innocuous choices in data visualization of the same information can lead to meaningful differences in interpretations and motivations to engage in follow-up actions and how this may hold a broad societal impact.

Dr. Roh is teaching Data Analytics for Managerial Insights, Research Design and Analytics, Interpreting and Communicating with Data, The Science of Behaviour Change, Psychology of Strategic Communication, and Media Psychology to business participants. He is also giving lectures in the Citi-SMU Financial Literacy Programme for Young Adults.

Beyond such academic engagements as research and teaching, Dr. Roh also offers workshops to help firms and organizations enhance their capacities in data analytics and visualization practices. As a case in point, he is running a “Data Visualization and Storytelling” workshop for professional librarians this August at a conference organized by the Library Association of Singapore.

Dr. Roh is a recipient of university-wide "Most Promising Teacher" Award at Singapore Management University.

Additional Details

• Good Bachelor's Degree
• Diploma Holders with at least 3 years of working experience


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