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Data Driven Cost Estimation

By Grenoble INP – UGA

Type of course:

Digital learning, Path

Language:

EN

Duration:

2 hours

Workload:

120 hours

Proficiency:

Intermediate

Target:

Professionals, Workers, Manager

This training program focuses on equipping professionals in the manufacturing industry with the knowledge and skills to apply data science techniques for cost estimation processes. The course will guide learners through solving a real-world cost estimation problem The training emphasizes hands-on experience, enabling participants to design and implement data science projects tailored to their own factory settings.

Source : freepik.com


Learning outcomes

  1. After completing this learning path, learners will be able to apply relevant data science techniques and tools to process and analyze manufacturing data in solving a cost estimation problem for the identification of areas for improvement, reducing inefficiencies, and enhancing overall operational effectiveness.
  2. After completing this learning path, learners will be able to abstract the cost estimation problem and formulate it as a set of appropriate data science and machine learning problems.
  3. After completing this learning path, learners will be able to design and implement an end-to-end data science project for cost estimation, incorporating appropriate machine learning models.

Topics

Digital Transformation, Machine Learning, Artificial Intelligence (AI)

Tags

Machine learning, manufaturing data

Provided by

Content created in 2024
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Course Includes

  • 3 Quizzes

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