What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Design of Experiments Specialization
Instructor: Douglas C. Montgomery
21,952 already enrolled
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(290 reviews)
(290 reviews)
By the end of this course, you will be able to:
Approach complex industrial and business research problems and address them through a rigorous, statistically sound experimental strategy
Use modern software to effectively plan experiments
Analyze the resulting data of an experiment, and communicate the results effectively to decision-makers.
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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 effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all aspects of today’s industrial and business environment. Applications from various fields will be illustrated throughout the course. Computer software packages (JMP, Design-Expert, Minitab) will be used to implement the methods presented and will be illustrated extensively.
All experiments are designed experiments; some of them are poorly designed, and others are well-designed. Well-designed experiments allow you to obtain reliable, valid results faster, easier, and with fewer resources than with poorly-designed experiments. You will learn how to plan, conduct and analyze experiments efficiently in this course.
6 videos6 readings1 assignment1 app item1 discussion prompt
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6 videos1 reading2 assignments
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Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it.
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Reviewed on Nov 13, 2024
Excellent course—very practical and concise, with a well-balanced approach between mathematical rigor and practical execution skills.
Reviewed on Sep 30, 2023
Excellent training material, real case studies, explained in detail, and showing how to apply the statistical tools.
Reviewed on Jan 12, 2021
pretty good course , it would have been great to have pdf or brief with the material, the book is great too , class notes would have been great.
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