Design of Experiments
About this Specialization
Learn modern experimental strategy, including factorial and fractional factorial experimental designs, designs for screening many factors, designs for optimization experiments, and designs for complex experiments such as those with hard-to-change factors and unusual responses. There is thorough coverage of modern data analysis techniques for experimental design, including software. Applications include electronics and semiconductors, automotive and aerospace, chemical and process industries, pharmaceutical and bio-pharm, medical devices, and many others.\\n\\nYou can see an overview of the specialization from Dr. Montgomery here.Created by: Arizona State University
Related Online Courses
With AWS Security Hub, you can perform security best practice checks, aggregate alerts, and automate remediation. In this course, you will learn the benefits and technical concepts of Security Hub.... more
This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of... more
As data becomes the modern currency, so the ability to quickly and accurately analyse data has become of paramount importance. Therefore, data analytics and visualization are two of the most sought... more
In this course students will learn the why the Spring Framework is one of the dominant Java development Frameworks. the course covers a variety of techniques for Java Object Dependency Injection... more
This specialization demystifies data science and familiarizes learners with key data science skills, techniques, and concepts. The course begins with foundational concepts such as analytics... more