Certified Data Analytics (R) Specialist – Introduction to Data Analytics (using R Programming)

Overview

The most important skillset required for data analytics is data processing and wrangling—transforming, restructuring, and cleaning datasets in preparation for analysis of interests. This introductory course to the certificate program will guide participants through data processing and wrangling using the “tidyverse” package.

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Run 1: 18-20 October 2018 [FULLY SUBSCRIBED] 
Run 2: 29-30 November & 1 December 2018 [FULLY SUBSCRIBED] 
Run 3: 3-6 April 2019 [FULLY SUBSCRIBED] 
Run 4: 10-13 April 2019 [FILLING FAST] 

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Participants will learn how to manage and manipulate data with the R programming language, as well as collect data from social media platforms such as Twitter and a web-search volume indicator, or Google Trends. Participants will also be able to conduct a sentiment analysis for gaining insights that will help you make managerial decisions in a competitive environment.

Next Course Starts On29 Nov 2018 (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

By the end of this course, students will be able to:
•    Run the fundamentals of R programming language essential to managing data (“tidyverse” package)
•    Perform text mining from Twitter using R programming
•    Run sentiment analysis and interpret the results
•    Run one-way analysis of variance (ANOVA) and interpret the results

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)

Assessment

Assessment
•   In-class group work
•   Individual assessment

Learning Activities

Instructional Methods and Learning Activities

Lectures, Discussions, Case Studies

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-0044896
SkillsFuture Course Name*: Introduction to Data Analytics (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

Course dates: 

Run 1:[FULL] 
18 October 2018 (Thu),
19 October 2018 (Fri),
20 October 2018 (Sat)

Run 2:[FULL]
29 November 2018 (Thu),
30 November 2018 (Fri),
1 December 2018 (Sat)

Run 3:[FULL]
3 April 2019 (Wed),
4 April 2019 (Thu),
6 April 2019 (Sat)

Run 4:[FILLING FAST]
10 April 2019 (Wed),
11 April 2019 (Thu),
13 April 2019 (Sat)

Speaker/Trainer Bio

Dr. Sungjong Roh
Assistant Professor of 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 behavioral 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 Behavior 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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