The State University of New York
Advanced Manufacturing Process Analysis

Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.

Advanced Manufacturing Process Analysis

Rahul Rai

Instructor: Rahul Rai

24,489 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.6

(1,185 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 13 hours
Learn at your own pace
97%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(1,185 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 13 hours
Learn at your own pace
97%
Most learners liked this course

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

13 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Digital Manufacturing & Design Technology Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 3 modules in this course

The purpose of this module is to introduce the concept of advanced analysis in improvement of manufacturing processes. Also, this module will help you to understand the difference between discrete manufacturing and continuous manufacturing.

What's included

5 videos3 readings3 assignments

Storing big data is quite different from handling traditional data. This difference is explained in this module. The purpose of this module is to introduce various steps involved in data analysis. Data Collection, Data Storage, Data Organization and Data Pre-processing concepts are explained.

What's included

4 videos4 readings5 assignments1 discussion prompt

The purpose of this module is to introduce various techniques used in advanced analysis, like Determination of Significant Variables/Factors, Data Visualization, and Anomaly Detection. Also, this module will introduce various computational platforms (HPC, Cloud computing techniques) that exist for carrying out advanced analysis.

What's included

5 videos7 readings5 assignments1 discussion prompt

Instructor

Instructor ratings
4.5 (219 ratings)
Rahul Rai
The State University of New York
2 Courses44,303 learners

Offered by

Recommended if you're interested in Mechanical Engineering

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 1185

4.6

1,185 reviews

  • 5 stars

    69.53%

  • 4 stars

    23.12%

  • 3 stars

    4.55%

  • 2 stars

    1.60%

  • 1 star

    1.18%

HV
5

Reviewed on Apr 23, 2020

CR
4

Reviewed on Jul 28, 2020

MP
5

Reviewed on Apr 29, 2017

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions