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

Overview

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.

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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]

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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
Duration

2 weekday evenings and a full Saturday (15 hours)

Level
Basic
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)

Assessment

Assessment
•   In-class group work
•   Individual assessment

Fees and Funding

Full Fees (Foreigners. i.e. non-Singaporean Citizens and non-Permanent Residents)
S$1,712 (after GST) for non-Singapore Citizens and non-Permanent Residents.

SkillsFuture Singapore (SSG) Funding:

A) Self-Sponsored Individual
•    S$193.60 (Singapore Citizens above 40 years old) after SSG Mid Career Enhanced Subsidy (MCES) Funding (Up to 90% course fee subsidy);
•    S$513.60 (Singapore Citizen below 40 years old and PRs) after SSG Funding (Up to 70% course fee subsidy);
•    S$113.60 (Singaporeans on Workfare Training Support Scheme) after SSG Workfare Training Support Scheme (WTS) Funding (Up to 95% course fee subsidy).

SkillsFuture Credit
Self sponsored Singapore Citizens aged 25 and above may use their SkillsFuture Credit (up to S$500) to further defray part of the subsidised course fee. Please click User Guide in the Skillsfuture Credit website to find out how to submit your claim.  As courses in this professional certificate have been modularised, participants will need to identify which course to apply credits for 

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

B) SME Company Sponsored Individual (Enhanced Training Support for SMEs - "ETSS")
•    S$193.60 (Singapore Citizen/PR) (Up to 90% course fee subsidy)

Note: Companies which meet all of the following criteria can qualify for the Enhanced Training Support under the SME scheme:
           i. Company must be registered or incorporated in Singapore;
           ii. Employment size (at group level) of not more than 200; OR Annual sales turnover (at group level) of not more than S$100 million; and
           iii. At least 30% local shareholding being held by Singapore Citizens or Singapore Permanent Residents.

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.

C) Non-SME Company Sponsored Individual

•    S$193.60 (Singapore Citizens above 40 years old) after SSG (Mid Career Enhanced Subsidy) MCES Funding (Up to 90% course fee subsidy);
•    S$513.60 (Singapore Citizen below 40 years old and PRs) after SSG Funding (Up to 70% course fee subsidy);
•    S$113.60 (Singaporeans on Workfare Training Support Scheme) after SSG (Workfare Training Support Scheme) WTS Funding (Up to 95% course fee subsidy).

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.

Schedule

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)

Run 4:[FILLING FAST]
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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