course-banner-img Data Analytics-8

Data Analytics for Industrial Applications

Topic:Data Analytics & Visualisation

Course Type:Short & Modular Courses

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Overview

  • Course Date:

    TBA
  • Registration Period:

    TBA
  • Time:

    TBA
  • Mode of Training:

    -
  • Venue:

    -
  • Funding:

    -

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.

Course Objective

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.

Course Outline

• 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®.

Minimum Requirements

Learners with some IT knowledge or work in a technology related area.

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

Suitable for

Engineers and Specialists (Manufacturing Engineer; Data Engineer; Facilities Engineer; Equipment Engineer, Logistics Data Specialist)

Course Fees

Full Fees (before GST): $1,200.00

Applicants/Eligibility SkillsFuture Funding GST* Subsidised Fee (after GST)
Singapore Citizens aged 40 and above¹ $1,080.00 $28.80 $148.80
Singapore Citizens aged below 40 $840.00 $28.80 $388.80
Singapore Permanent Residents and LTVP+ Holders $840.00 $28.80 $388.80
SME-sponsored Singapore Citizens, Permanent Residents and LTVP+ Holders² $1,080.00 $28.80 $148.80
Others (Full fees payable) $0.00 $96.00 $1,296.00

*As announced at Budget 2022, there will be no increase in government fees and charges for Singaporeans from 1 Jan 2023 to 31 Dec 2023. Also, as per SSG’s policy, the GST payable for all funding-eligible applicants is calculated based on prevailing GST rate after baseline funding subsidy of 70%

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

1 Under 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.


Application Procedure

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 Polytechnic
One-Stop Service Centre

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.
 

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