6 and 7 Sept 2021
22 Jun to 23 Aug 2021
16 hours / 2 days
8:30 am to 5:30 pm
Mode of Training:
Practical (including 1 hour assessment)
Singapore Poly, T913
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
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.
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.