Implement Manufacturing Data Mining Techniques

Implement Manufacturing Data Mining Techniques


Upcoming Course Date


Training Duration

42 Hrs

Full Fee


Funding Support

Up to 90%

Training Mode

Hands-on, Project Based


Entry Level, Aspiring Professional, Expert

Implement Manufacturing Data Mining Techniques


This WSQ course aims to provide a good understanding of the fundamentals of data analytics and data mining techniques for different manufacturing applications. Participants will learn techniques for advanced clustering methods for product quality management, correlation modelling, and data pattern methods for root cause analyses and neural networks for process performance prediction.

Learning Objectives:

Fundamentals of Data Mining

  • Introduction to data mining concept and applications in manufacturing
  • Process correlation modelling and data pattern analyses through statistical methods
  • Advanced data clustering technologies for anomaly detection and classification
  • Process performance prediction using artificial intelligence (neural networks, etc)

Case Studies by Grouping Projects Using Real Production Data

  • Data preparation
    • Problem statement
    • Technical challenges
    • Project objectives
    • Data collection and pre-processing
  • Data analysis
    • Major factor identification by correlation coefficient analysis
    • Correlation modeling by multiple regression method and root cause analysis
    • K-means clustering and pattern based regression modelling
    • Correlation modeling by fuzzy neural networks method for quality estimation
    • What-if predictive analysis for process improvement & DOE design
    • Project conclusion
  • Improvement plan
    • Identifying yield improvement areas
    • Production/process improvement plan





International Participants

Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders

Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above (MCES)

SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS)






Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees (for self-sponsored registrations only)

For corporate training or individual participants, please let us know your preferred date(s) in the Register Interest form below.

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