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Design of Experiment (DOE) Masterclass

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

Course Brochure

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Design of Experiment (DOE) Masterclass

Course Code: C950

5 Review(s) | Add Your Review

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What's This Course About

Unearth the power and potential of Natural Language Processing with our dedicated Python NLTK Training at Tertiary Courses. In this meticulously crafted course, participants begin their journey with basic text analysis using NLTK, laying a firm foundation for advanced NLP endeavors. The course sheds light on robust techniques for Text Classification and seamlessly integrates with Scikit-Learn classifiers, ensuring a holistic understanding of combining NLP tools for optimal outcomes.

Venture further into the world of NLP by grasping the intricacies of Gensim, a powerful library designed for topic modeling and document indexing. Additionally, the course introduces the participants to Word2Vec, an innovative two-layer neural net to process text. This training, with its blend of theory and practice, equips learners to harness the capabilities of NLTK and other associated tools, ensuring they're well-prepared to tackle real-world NLP challenges with finesse and precision.

WSQ Funding

Full Fee 2,200.00 Before GST
GST 198.00 9% of fee
Baseline Nett 1,298.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 858.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at NICF Text Analytics with Python

Course Fee

MYR2,200.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1 Introduction to Design of Experiment

  • What is Design of Experiment (DoE)?
  • DoE vs OFAT Experiments
  • Comparative Experiments
  • Basic Principles of DoE
  • Terminology of DOE
  • Types of DoE

Topic 2 Factorial Experiments

  • What is Factorial Experiments
  • Two Level Factorial Design
  • Blocking and Replication
  • Analysis Factorial Experiments
  • Fractional Factorial Experiments
  • Confounding Effects and Resolution Types
  • Available Two Level Factorial Designs
  • Factorial Design with Center Points

Topic 3 Response Surface Method

  • What is Response Surface Method (RSM)?
  • Central Composite Design (CCD)
  • CCD Analysis

Topic 4 Mixture and Taguchi Designs

  • What is Mixture Design?
  • Components
  • Simplex Centroid Design
  • What is Taguchi Design?
  • Signal and Noise Factors
  • Catalogue of Taguchi Designs
  • Optimisation of Taguchi Designs

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Process Engineer
  • Quality Assurance Manager
  • Manufacturing Engineer
  • Operations Manager
  • Production Manager
  • R&D Scientist
  • Six Sigma Black Belt
  • Lean Manufacturing Specialist
  • Industrial Engineer
  • Continuous Improvement Manager
  • Quality Control Specialist
  • Operations Research Analyst
  • Supply Chain Analyst
  • Project Manager
  • Business Process Consultant

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (5)

Very useful course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 08/01/2026)
Knowledgeable trainer Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 08/09/2025)
Good course materials Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 17/08/2025)
Excellent course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 20/12/2024)
Very satisfied Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 15/01/2024)

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