Data Analytics for Engineers
LEVEL: INTERMEDIATE HRDF: CLAIMABLE
Fifteen (15) CPD Hours approved by MBOT
TRAINERS:
Dr Hilmi Hussin, ASSOCIATE PROFESSOR Dr Masdi Muhammad & ASSOCIATE PROFESSOR Dr Ainul Akmar MOKHTAR
20 - 22 AUGUST 2024
CAPE Office,
Level 8, Permata Sapura, Kuala Lumpur
9.00AM - 5.00PM
RM 3,500 FOR PROFESSIONALS
10% Discount for Early Bird (until 20 July 2024) / Group / Students
CONTENT SUMMARY
INTRODUCTION
Plant data are important for the purpose of monitoring, controlling, reporting, costing, improving and optimizing plant operation and performance. There is abundance of data being collected which often come with certain cost, however, only few being utilized for improving the performance and making right decision. Proper data acquisition, validation and analysis are critical for gaining the best values of those data collected. With good data quality and appropriate statistical analysis techniques, analyst and management can make proper decision based on sound evidence rather than intuition. This 3-day training course covers the fundamentals of data acquisition, validation and decision Analysis and their applications using Microsoft Excel. The course is conducted based on hands on through the use of industrial case studies.
Day 1
- Introduction to Data Analytics
- Analyzing Data using Excel
- Basic Data Exploratory tools including charts, analytic tools, Sample Size, Mean, Standard Deviation, and Standard
- Error of the Mean
Day 2
- Analyzing Data using Excel
- Advanced tools: Pivot Table, pivot chart, Power query Pareto rule, multiple correlation and multiple regression, hypothesis testing, using solver for optimization (linear programming).
- Case study
- Analyzing Data using Power BI – Visualization:
- Creating Visualization / Dashboard, Big Data import and Transformation, Publish report
Day 3
- Data analytic workflow
- Common Data Analytic models
- Linear Regression
- Logistic Regression
- ANN
- SVM
- Clustering
- Data Analytic workflow in ORANGE
- Case Study
OBJECTIVES
Upon completion of this course, participants will be able to:
- Perform exploratory data analysis (EDA) in order to gain insights on the issues and performances of the equipment or system under study.
- Implement and analyse Statistical Process Control (SPC) charts and CUSUM charts to detect any deviation in the process either due to process deterioration or improvement.
- Perform statistical analysis using hypothesis testing to assess whether the improvement seen is due to the improvement actions or by chance (not real improvement).
- Perform strategic decision analysis using statistics and decision tree technique in situations of complex multistage decision problems involving uncertainty and risks.
WHO SHOULD ATTEND?
- Anyone interested in Big Data.
- Managers and Executives Engineers.
- Researchers & Consultants.
OUR TRAINERS
1. Dr. Hilmi Hussin (UTP)
Dr Hilmi Hussin current position as Programme Manager, MSc Asset Management and Maintenance, Universiti Teknologi PETRONAS. He had industrial experience 6 Years with Seagate Technology Sdn Bhd (Senior Quality Engineer), 4 Years with Applied Magnetics Sdn Bhd (Process Engineer) and 17 Years with Universiti Teknologi PETRONAS. Academic qualification for Dr Hilmi, PhD in Mechanical Engineering (Reliability Engineering) from Universiti Teknologi PETRONAS, Master of Science in Manufacturing System Engineering from Warwick University, UK and Bachelor of Science in Mechanical Engineering from State University of New York, Buffalo, NY, USA.Dr Hilmi had area of expertise in Reliability Engineering, Asset and operation management, Discrete event simulation and RAM Modeling, Six Sigma and Lean Manufacturing. His professional certification and awards in Six Sigma Black Belt (Seagate Technology) and HRDF Certified Trainer.
2. Associate Professor Dr. Masdi Muhammad (UTP)
Area of expertise for AP Dr Masdi in, Reliability Engineering, Asset and operation management, Discrete event simulation and RAM Modeling, Life Cycle Cost Analysis and Predictive analytic modeling. AP Dr Masdi had professional certificate and award gains in Chartered Engineer (UK), HRDF Certified Trainer, Certified Reliability Engineer (CRE-8155) by American Society for Quality (ASQ), Certified Maintenance and Reliability Professional (CMRP- 156299) by Society for Maintenance and Reliability Professionals (SMRP).
3. Associate Professor Dr. Ainul Akmar Mokhtar (UTP)
Dr Ainul Akmar Mokhtar current position as Associate Professor in Mechanical Engineering, Universiti Teknologi PETRONAS. She had industrial experience, 3 Years with SEAGATE Technology Sdn Bhd, and 19 Years with University Teknologi PETRONAS. AP Dr Ainul had academic qualifications, PhD in Mechanical Engineering (Reliability Engineering),Universiti Teknologi Petronas, Master Of Science In Manufacturing Systems, University Of Nottingham and Bachelor Of Science In Industrial Engineering, Purdue University. Area of expertise in Industrial Engineering, Mechanical Engineering, Operations Management and Operations Research. She had professional certifications and awards in API 580 Risk-Based Inspection and HRDF Certified Trainer.
REGISTRATION FEES
PROFESSIONALS
MYR3,500*
*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).
EARLY BIRD/ GROUP/ STUDENT
MYR3,150*
*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).
OUR LOCATION
Centre for Advanced & Professional Education (CAPE)
Level 8, Permata Sapura, Kuala Lumpur City Centre, 50088 Kuala Lumpur​
CALL US
+605 - 368 7558 /
+605 - 368 8485
DROP US AN EMAIL
cape@utp.edu.my