Analytics Business Management

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

This module is part of Certified Data Analytics (R) Specialist

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

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.

Funding

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-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

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

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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