Descriptions
Design of Experiments Specialization, Offered by Arizona State University. This specialization teaches you how to design, develop, and improve products and processes using modern experimental techniques. You will learn to plan and conduct experiments, analyze data, and apply statistical methods to optimize outcomes in engineering, science, and business. Through practical examples and hands-on projects, you will gain the skills to identify key factors, build effective models, and make data-driven decisions for continuous improvement.
What you’ll learn
- Understand the principles of experimental design and their applications
- Plan, conduct, and analyze experiments for product and process improvement
- Apply statistical methods to interpret experimental data
- Identify key factors and interactions affecting outcomes
- Build and validate models for prediction and optimization
- Make data-driven decisions for continuous improvement
Who this course is for
- Engineers, scientists, and professionals seeking to improve products and processes
- Students and researchers interested in experimental design and data analysis
- Anyone who wants to apply statistical methods for optimization and innovation
Specificatoin of Design of Experiments Specialization
- Publisher : Coursera
- Teacher : Douglas C. Montgomery
- Language : English
- Level : Beginner
- Number of Course : 4
- Duration : 4 weeks to complete at 10 hours a week
Content of Design of Experiments Specialization
Requirements
- A previous course in basic statistical methods. The required background is introduced and reviewed as needed throughout the course.
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Downloadly
Course 1 – Experimental Design Basics
Course 2 – Factorial and Fractional Factorial Designs
Course 3 – Response Surfaces, Mixtures, and Model Building
Course 4 – Random Models, Nested and Split-plot Designs
Rapidgator
Course 1 – Experimental Design Basics
Course 2 – Factorial and Fractional Factorial Designs
Course 3 – Response Surfaces, Mixtures, and Model Building
Course 4 – Random Models, Nested and Split-plot Designs
Password File(s): www.downloadly.ir
File size
4.94 GB
