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Implement Manufacturing Data Mining Techniques (42 hours)

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Data mining techniques are increasingly important for data-intensive manufacturing operations as the industry faces a number of challenges such as equipment and material condition variations, trial-and-error in process parameter setting, product quality inconsistencies, low capability of root cause discovery, process performance prediction and process parameters/recipe auto tuning. By applying data mining techniques, a company can improve its product quality and manufacturing productivity.

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.


Watch our webinar video held on 26 Nov 2020 to learn more about this course. Click here to view.

What You Will Learn
Upon Completion of This Course

Pre-Requisites and Nett Course Fee

Contact Us

Please register for this course under 1. Modular Programmes > 2. Implement Manufacturing Data Mining Techniques in the online registration form.


Skills Course Reference Number Training Period
(Click on dates to view schedules)
Registration Status
Implement Manufacturing Data Mining Techniques (42 hours) TGS-2020506158; TGS-2018502735
EVE 21 Jun 2021 - 4 Oct 2021
Data Mining for Correlation Analysis (DM-LITE) TGS-2020504604    

FD : Full Day  AM : Morning PM : Afternoon EVE : Evening