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Prof Ragunathan Rengasamy
https://che.iitm.ac.in/~senai/
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NOC:Data Science for Engineers
by Prof Ragunathan Rengasamy
5.0
(7)
26 Enrollments
Validity Unlimited
Free
NOC:Process Control - Design, Analysis and Assessment
by Prof Ragunathan Rengasamy
4.0
(1)
5 Enrollments
Validity Unlimited
Free
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NOC:Process Control - Design, Analysis and Assessment
All LevelsEnglish
IIT-JEE
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NOC:Data Science for Engineers
5.0
(7)
Published onLast Updated onUn-Published on
01 January, 1970
This course is now removed from course marketplace, You can always publish it again
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26 Enrollments
Validity Unlimited
FREE
NOC:Data Science for Engineers
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems".Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data.
All Level
English
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NOC:Data Science for Engineers
NOC:Process Control - Design, Analysis and Assessment
4.0
(1)
Published onLast Updated onUn-Published on
01 January, 1970
This course is now removed from course marketplace, You can always publish it again
Your course can't be published ! please review your course content,
unappropiate contents are marked
Once you will complete the course creation steps you are ready to publish this
course
5 Enrollments
Validity Unlimited
FREE
NOC:Process Control - Design, Analysis a..
Automatic process control in continuous production processes is a combination of control engineering and chemical engineering disciplines that uses industrial control systems to achieve a production level of consistency, economy and safety which could not be achieved purely by human manual control. It is implemented widely in industries such as oil refining, pulp and paper manufacturing, chemical processing and power generating plants. There is a wide range of size, type and complexity, but it enables a small number of operators to manage complex processes to a high degree of consistency. The development of large automatic process control systems was instrumental in enabling the design of large high volume and complex processes, which could not be otherwise economically or safely operated.