Advanced Manufacturing Process Analysis
Digital Manufacturing & Design Technology ,
Variability is a fact of life in manufacturing environments, impacting product quality and yield. Through this course, students will learn why performing advanced analysis of manufacturing processes is integral for diagnosing and correcting operational flaws in order to improve yields and reduce costs. Gain insights into the best ways to collect, prepare and analyze data, as well as computational platforms that can be leveraged to collect and process data over sustained periods of time. Become better prepared to participate as a member of an advanced analysis team and share valuable inputs on effective implementation. Main concepts of this course will be delivered through lectures, readings, discussions and various videos. This is the fourth course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA
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| Rating | 4.1★ based on 63 ratings |
|---|---|
| Length | 4 weeks |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | University at Buffalo, The State University of New York via Coursera |
| Instructor | Rahul Rai |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Engineering Programming |
| Tags | Data Science Physical Science And Engineering Mechanical Engineering Machine Learning |
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What people are saying
manufacturing process analysis
this course is very useful for the daily work life and our daily activity BEST COURSE Mostly tells what happens and what might happen with Advanced Manufacturing Process Analysis application in the Industry, but very less about How it actually happens and what are the exact procedures.A very basic understanding course, and honestly I expected much more from it.
Advanced Manufacturing process analysis course was Intellectually designed and added more value in enhancing my information related to Big Data and Internet of things.
good Great content thank you Good I really appreciate the hard work behind this course by faculty , for providing us a profound understanding on the topic Advanced Manufacturing Process Analysis.
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advanced manufacturing
Frankly, it's a great specialization program and the Advanced Manufacturing Analysis give you an in debt knowledge of the topic.A must for mechanical and industrial engineers and technicians Lectures were a little dry, but great resources.
Innovative lecture plan and content rich very Impressive Greatly useful for a rookie who wants to earn knowledge on the advanced manufacturing processes which include latest technologies.
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very good
Content is very good and easy to understand.
Very good to learn good learning good Thank you for the training course.
Very good Course Excellent course.
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Volunteer Advanced Manufacturing Engineer $41k
Advanced Manufacturing Specialist 1 $64k
Advanced Manufacturing Engineering (AME) $78k
Supervisor Advanced Manufacturing Specialist $80k
Manufacturing and Failure Analysis Engineer $94k
Dean, Advanced Manufacturing $94k
Owner Advanced Manufacturing Engineer $96k
Advanced Manufacturing Leader $115k
Advanced Manufacturing Manager $120k
Advanced Analysis Engineer $121k
Visiting Advanced Manufacturing Engineer $125k
Advanced Manufacturing Engineer 4 $125k
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| Rating | 4.1★ based on 63 ratings |
|---|---|
| Length | 4 weeks |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | University at Buffalo, The State University of New York via Coursera |
| Instructor | Rahul Rai |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Engineering Programming |
| Tags | Data Science Physical Science And Engineering Mechanical Engineering Machine Learning |
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