Introduction to Design of Experiments (Statistics)

Introduction to Design of Experiments (Statistics) is also one of the best online experimental design courses. This course will teach you how to use experiments to gain maximum knowledge at a minimum cost. For processes of any kind that have measurable inputs and outputs, Design of Experiments (DOE) methods guide you in the optimum selection of inputs for experiments, and in the analysis of results. Full factorial, as well as fractional factorial designs, are covered.

All six-sigma practitioners, scientists, engineers, and technicians are interested in performing experiments that maximize process knowledge with minimal resources. Managers responsible for delivering products “on time” and “on budget” will also benefit from this course by learning what their employees should be doing. This course will stress the application of DOE rather than statistical theory. While the design of experiments has been very successfully applied in research and development, that is not the only application. The techniques presented also apply to manufacturing, quality control, and even marketing. At the conclusion of this course, you will be familiar with the foundations of experimental design. You will learn about interactions, coding, and randomization, how to choose appropriate designs, and how to conduct experiments and analyze your results.

By the end of this course, you will be able to:

• Explain the fundamental concepts of DOE, and why it is used
• Calculate treatment effects
• Produce plots from the results of experiments
• Specify fractional and full factorial designs
• Specify specialized designs, e.g. Taguchi, Box-Wilson, others
• Use Excel-based software to design experiments and analyze data

This course offers:

• Flexible deadlines: Reset deadlines based on your availability.
• Get a Certificate when you complete
• 100% online
• Introductory/Intermediate Level
• Approximately 4 weeks to complete
• Subtitles: English
• Expert Instructors
• Teacher Assistant Support
• Tuition-Back Guarantee

Participants: 3,066

Enroll here: https://www.statistics.com/courses/introduction-to-design-of-experiments/