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. You can see an overview of the specialization from Dr. Montgomery here.
| From | Arizona State University via Coursera |
|---|---|
| Hours | 106 |
| Instructor | Douglas C. Montgomery |
| Language | English |
| Subjects | Data Science Mathematics |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Columnist - Modern Southern Belle $38k
Modern Language Teacher $53k
Experimental Auto Assembler Apprentice $53k
Simonson Modern Jazz Instructor $60k
Model Maker(experimental machinist) $67k
Experimental Engineering Test Technician $73k
Experimental Facilities Civil Engineer $74k
Account Executive - Modern Marketing $76k
Senior Experimental Machinist Tech $80k
Experimental Physicist $88k
Experimental Heavy Equipment Operator $98k
Senior Experimental Engineering Test Technician $138k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
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Jul |
This is a basic course in designing experiments and analyzing the resulting data. The course objective is to learn how to plan, design and conduct experiments efficiently and... Coursera | Arizona State University |
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Jul |
Factorial and Fractional Factorial Designs (You were viewing this course) Many experiments in engineering, science and business involve several factors. This course is an introduction to these types of multifactor experiments. The appropriate... Coursera | Arizona State University |
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Jul |
Response Surfaces, Mixtures, and Model Building Factorial experiments are often used in factor screening.; that is, identify the subset of factors in a process or system that are of primary important to the response. Once the... Coursera | Arizona State University |
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Jul |
Random Models, Nested and Split-plot Designs Many experiments involve factors whose levels are chosen at random. A well-know situation is the study of measurement systems to determine their capability. This course presents... Coursera | Arizona State University |
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| From | Arizona State University via Coursera |
|---|---|
| Hours | 106 |
| Instructor | Douglas C. Montgomery |
| Language | English |
| Subjects | Data Science Mathematics |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Columnist - Modern Southern Belle $38k
Modern Language Teacher $53k
Experimental Auto Assembler Apprentice $53k
Simonson Modern Jazz Instructor $60k
Model Maker(experimental machinist) $67k
Experimental Engineering Test Technician $73k
Experimental Facilities Civil Engineer $74k
Account Executive - Modern Marketing $76k
Senior Experimental Machinist Tech $80k
Experimental Physicist $88k
Experimental Heavy Equipment Operator $98k
Senior Experimental Engineering Test Technician $138k
Similar Courses
Sorted by relevance
