16 hours / 2 days
9:00am to 6:00pm
Mode of Training:
Facilitated Learning (F2F)
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
Eligible for SkillsFuture CreditTerms 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.
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:
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.