Data Analytics Using R

Course Date:

Registration Period:

16 hours / 2 days

9:00am to 6:00pm

Mode of Training:
Facilitated Learning (F2F)

Singapore Polytechnic

Course Introduction

Data analytics skills are much sought after in many industries especially in organisations that are custodians of huge amounts of data. These skills are essential for preparing, visualising, analysing, modelling and presenting data in ways that provide meaningful insights. This course will teach principles of data preparation, visualisation, statistical analysis, predictive modelling and decision making using the programming language R. Many professionals may only be familiar with basic forms of analysis using Microsoft Excel and may not be aware of more powerful data analytics tools which are made available for use by R.

Course Objective

This course will explore the strengths of the ‘R’ programming language, in numerical data preparation, analysis and modelling via case studies. Participants will be provided with a broad understanding of data analytic processes and the tools used. By the end of the course, participants will better appreciate analytical processes and use data tools to perform a broad spectrum of analytical operations. 

Course Outline

• Data Preparation and Statistical Analysis
• Regression Analysis
• Classification Techniques
• Cluster Analysis
• Modelling using R
• Deriving Insights and Decision Making

Suitable for

Data Engineers, Data analysts, Business Intelligence Managers, Professionals, Executives

Minimum Entry Requirements / Assumed Skills and Knowledge

GCE O Levels with at least a C6 in English and Mathematics

Award / Certification / Accreditation

• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate

• Certificate of Performance (electronic Certificate will be issued)
A Certificate of Performance will be awarded to participants who pass the examination and meet at least 75% attendance rate

Full Fees (before GST): $900.00 
GST payable for all funding-eligible applicants*: $18.90
GST payable for others: $63.00 

Applicants/EligibilitySkillsFuture FundingSubsidised Fee (after GST)
Singapore Citizens aged 40 and above1$810.00 $108.90 
Singapore Citizens aged below 40$630.00 $288.90 
Singapore Permanent Residents and LTVP+ Holders$630.00 $288.90 
SME-sponsored Singapore Citizens, Permanent Residents and LTVP+ Holders2$810.00 $108.90 
Others (Full fees payable)$0.00$963.00

*As per SSG’s policy, the GST payable is calculated based on 7% of the baseline funding subsidy of 70%

Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.

1Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here
2 Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information of the scheme, click here. To view SP’s list of similar funded courses, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.

Funding Incentives

Please click here for more information on funding incentives.

Register Here

Eligible for SkillsFuture Credit
Terms and Conditions

*Please note that once the maximum class size is reached, the online registration will be closed.
You may register your interest, and would be notified if there is new run.

Application Procedure

1. All applications must be made via Online Registration at
Course fees can be paid by the following payment modes:

a) Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.

b) For NETS payment, you can pay at:
Singapore Polytechnic
PACE Academy

c) For payment via PayNow, please enter the UEN No. T08GB0056ACET and indicate the invoice/registration number. 

*With effect from 1 August 2021, cheque payment will not be available.

2. All successful applicants will be notified with a letter of confirmation via email.