9 and 10 Dec 2019
1 Oct to 25 Nov 2019
16 hours / 2 days
8:30 am to 5:30 pm
Mode of Training:
Practical (including 1 hour assessment)
The data analytics industry contributes at least S$1bn to the local economy each year. Data analytics is one of the key skills required in the wake of Industry 4.0. It is an emerging area with massive growth potential. This course, jointly offered with TIBCO Software, focuses on how industry professionals, especially those in the manufacturing and logistics sector can harness the power of data analytics to analyse the industrial data presented to them.
This course equips participants with the knowledge on a range of data analysis tools and also the skills to apply these tools on industrial data. Participants will learn to develop efficient models for predictive data analysis and to apply the trained models on offline data and on streaming data to generate automated alerts.
• Predictive Analysis Models: Regression, Clustering, Forecasting, Classification Trees
• Streaming Data Analysis
• Industrial Applications and Case Study
This course will be conducted using TIBCO CloudTM Spotfire® and TIBCO StreamBase®.
Engineers and Specialists (Manufacturing Engineer; Data Engineer; Facilities Engineer; Equipment Engineer, Logistics Data Specialist)
Minimum Entry Requirements / Assumed Skills and Knowledge
Learners with some IT knowledge or work in a technology related area.
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.
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:
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.