Course Test - Cost estimation (Pilot)

Type of course:

Digital learning, Lesson

Language:

Duration:

20 minutes

Proficiency:

Intermediate

Target:

Manager, Professionals, Workers

SUMMARY

Welcome to the assessment for the “Cost estimation” course!

Good luck, and let’s see how well you grasp the essential principles of Cost estimation!

About The Author

Killian Niel is a data scientist and a pedagogical engineer at the Ecole de Génie Industriel of Grenoble INP in France. He is particularly attracted to the application of machine learning to solve industrial problems. He is interested in confidentiality issues in the field of artificial intelligence and carried out a research and development project about privacy-preserving machine learning techniques for a SME.

Learning outcomes

By the end of this lesson, students 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.
By the end of this lesson, students will be able to abstract the cost estimation problem and formulate it as a set of appropriate data science and machine learning problems
By the end of this lesson, students will be able to design and implement an end-to-end data science project for performance monitoring and tracking, incorporating appropriate machine learning models.