Certified Data Analytics (R) Specialist – Statistical Inference for Managerial Insights (using R programming)

Overview

Participants will learn how to analyse given datasets (samples) to make inferences on a population. Participants will be introduced to hypothesis testing and modelling.

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Run 1: 6-8 December 2018 [FULLY SUBSCRIBED] 
Run 2: 7-9 February 2019 [FULLY SUBSCRIBED] 

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------Specifically, participants will learn about statistical tests to identify the relationships between two variables: chi-square, t-test, and linear regressions (and model selection). The course will also deal with analysis of variance, the statistical method that is briefly covered in “Introduction to Data Analytics” course—in this course, participants will have a more extensive lesson on the AOV for evaluating the results of A/B testing, along with lessons on designs of A/B testing.  Multivariate analyses will be discussed and exercised.

Next Course Starts On07 Feb 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

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

• Understand the concepts of statistical inference and modeling to make valid decisions about which inferential statistical methods to utilize for given questions and variables of datasets

• Understand and execute nonparametric statistical tests (e.g., chi-square) and interpret the results

• Understand and execute parametric statistical tests (e.g., t-test, analysis of variance, and regressions) and interpret the results

Work towards a bigger goal

This module is part of:

Certified Data Analytics (R) Specialist

Learn more

Who Should Attend

  • Participants who have completed Web Scraping and Data Insights course (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

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 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-0046138

 

SkillsFuture Course Name*: Certified Data Analytics (R) Specialist – Statistical Inference for Managerial Insights (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

Run 1:[FULL]

6 December 2018,

7 December 2018,

8 December 2018
 

Run 2:[FULL]

7 February 2019,

8 February 2019,

9 February 2019

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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