Data Driven Supply chain management

Type of course:

Digital learning, Path

Language:

Duration:

4 hours

Workload:

6 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Workers

This training program focuses on equipping professionals in the manufacturing industry with the knowledge and skills to apply data science techniques for supply chain management. The course will guide learners through solving a real-world supply chain management problem using association rules in filter production use case. The training emphasizes hands-on experience, enabling participants to design and implement data science projects tailored to their own factory settings.

Learning outcomes

By the end of this course, learners will be able to apply relevant data science techniques and tools to process and analyze manufacturing data in solving a supply chain management problem for the optimization of the supply chain and enhancing overall logistics efficiency.
By the end of this course, learners will be able to abstract the supply chain management problem and formulate it as a set of appropriate data science and machine learning problems.
By the end of this course, learners will be able to design and implement an end-to-end data science project for supply chain management, incorporating appropriate machine learning models.