Certified Data Analytics (R) Specialist
- Analytics & Tech
- Innovation & Business Improvement
This programme is conducted online.
Please refer to respective modules for dates.
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
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
- Data Scientists who are familiar with basics in R programming and want to learn how to perform web scraping from multiple webpages using packages in R
SYSTEM REQUIREMENTS
- Functional Laptop: (1) CPU must be of at least intel core I3, (2) GPU must have an integrated graphics card and (3) RAM must be of at least 4GB
Overview
This programme equips participants with efficient techniques in data analysis and statistical thinking using R, which is one of the most widely used open-source languages of analytics worldwide and continues to be the platform of choice for data scientists. Delving into statistical inference, modelling and reproducing analysis reports, participants will also learn to interpret and evaluate data-based decisions for real-world applications effectively.
Learning Objectives
- Hands-on R programming meets lessons in statistical thinking
- Analysing datasets that hold real-world implications
- Data visualisation and storytelling—beyond the “Data Speaks for Itself” approach
- Capstone project based on participants’ professional interest
Topic/Structure
To achieve the Certified Data Analytics (R) Specialist, participants will need to complete the following modules offered by SMU Academy in sequential order:
Introduction To Data Analytics (using R programming)
Introduction To Data Visualisation (using R programming)
Web Scraping and Data Insights (using R programming)
Statistical Inference for Managerial Insights (using R programming)
A First Look at Visual Analytics (using ggplot2 packages in R)
Advancing Skillsets Of Visual Analytics (Using Ggplot2 Packages In R)
This course is also a part of the Advanced Diploma in Data and Predictive Analytics in R Programming and Advanced Diploma in Data Analytics and Machine Learning.
Assessment
- Classroom exercises
- Individual assessment
- Group assignments
CERTIFICATION
Upon completion of all 6 modules within a maximum duration of 3 years, participants will be awarded a digital certificate as a Certified Data Analytics (R) Specialist.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$3,139.20 (After SSG Funding 70%) |
$1,219.20 (After SSG Funding 70% |
$3,139.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$1,219.20 (After SSG Funding 70% |
$1,219.20 (After SSG Funding 70% |
$1,219.20 (After SSG Funding 70% |
|
International Participant |
$10,464 (No Funding) |
$10,464 (No Funding) |
$10,464 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
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