Certified Data Analytics (R) Specialist – Web Scraping and Data Insights (using R programming)


Building on an introductory lesson on data analytics using R programming, the course will provide guidance to extracting data from the web, processing and wrangling it in preparation for analysis of interests.


Run 1: 22-24 November 2018 [FULLY SUBSCRIBED] 
Run 2: 24-26 January 2019 [FULLY SUBSCRIBED] 

Run 3: 15-18 May 2019 [FULLY SUBSCRIBED] 
Run 4: 29-30 May 2019, 1 June 2019 [FILLING FAST]


To further enhance the skillsets for scraping data and transforming it into insights using R, the course will guide participants to use tools for iteration—namely, loops, a cornerstone programming skill for extracting data from several sources (here, web pages), beyond the single web page. Importantly, participants will also learn how to retrieve datasets from APIs using R programming. During the course, participants will gain practical knowledge that facilitates text mining in R, to extract useful information from webpages for analysis.

Next Course Starts On24 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

This course builds on the introductory lesson on data analytics using R programming. 
By the end of this course, participants will be able to:

  • Run the fundamentals of R programming language essential to web scraping
  • Perform text mining from multiple web page
  • Retrieve datasets from APIs using R programming
  • Know when to use which codes for text mining techniques and to extract information (create datasets) of interest

Work towards a bigger goal

This module is part of:

Certified Data Analytics (R) Specialist

Learn more

Who Should Attend

  • Participants who have completed Introduction to Data Analytics (Using R programming) course module.  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

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 of 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-0046499

SkillsFuture Course Name*: Certified Data Analytics (R) Specialist – Web Scraping and Data Insights (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

Run 1:[FULL]

22 November 2018,

23 November 2018,

24 November 2018

Run 2:[FULL]

24 January 2019,

25 January 2019,

26 January 2019


Run 3:[FULL]

15 May 2019 (Wed),

16 May 2019 (Thu),

18 May 2019 (Sat)


29 May 2019 (Wed),

30 May 2019 (Thu),

1 June 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.


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