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IMPLEMENT MANUFACTURING DATA MINING TECHNIQUES (42 HOURS)

Data Mining Techniques_Banner

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.




Webinar

Watch our webinar video for "Minimising Design of Experiments (DoE) for Process Optimisation Using Data Mining Approach" held on 7 May 2021 for more information about SIMTech's Data Mining Courses.




What You Will Learn
Upon Completion of This Course



Pre-Requisites and Nett Course Fee



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Brochure and Registration

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



Schedules

Module 
Skills Course Reference Number Training Period
(Click on dates to view schedules)
Registration Status
Implement Manufacturing Data Mining Techniques (42 hours) TGS-2020506158
EVE 26 Jul 2021 - 1 Nov 2021
CLOSED
Data Mining for Correlation Analysis (DM-LITE) TGS-2020504604    

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