28 & 29 May 2020
24 Mar 2020 - 14 May 2020
16 hours / 2 days
9am to 6pm
Mode of Training:
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.
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.
- Data Preparation and Statistical Analysis
- Regression Analysis
- Classification Techniques
- Cluster Analysis
- Modelling using R
- Deriving Insights and Decision Making
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
Course Fees payable:
|Singapore Citizens aged below 40 and Singapore PRs||Singapore Citizens||Others|
|Non-SME sponsored||1Sponsored by SME||2Aged 40 and above||3Aged 35 and above, and earn ≤ $2,000 per month|
Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.
1 Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.
2 Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here.
3 Under the Workfare Training Support (WTS) scheme. For more information on the scheme, click here.
Please click here for more information on funding incentives.
* Registration may be closed once seats are filled up
1. All applications must be made via Online Registration at www.pace.sp.edu.sg
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 PolytechnicPACE Academy
Please make cheques payable to “Singapore Polytechnic”. Do cross the cheque and write the Registration Reference ID, Applicant Name and NRIC/FIN number at the back of the cheque. When you have completed required details, you may mail the cheque here
Please note that an administrative charge of $15 will be imposed for any returned cheques from the bank or financial institution.
2. All successful applicants will be notified with a letter of confirmation via email.