Type of course:
Digital learning, Path
Language:
EN
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.
LessonData Driven Supply Chain Management (Pilot)
Course Content
LessonData Driven Techniques for Supply Chain Management (Pilot)
Course Content
LessonData for Supply Chain Management (Pilot)
Course Content
LessonUse Case: Meet TechnoGaja (Pilot)
Course Content
LessonUse Case: Supply Chain Management at TechnoGaja (Pilot)
Course Content
LessonUse Case: TechnoGaja Dataset (Pilot)
Course Content
LessonExploratory Data Analysis on Tabular Data (Pilot)
Course Content
LessonTask: Exploratory Data Analysis on Tabular Data (Pilot)
Course Content
LessonPreprocessing for Tabular Data (Pilot)
Course Content
LessonTask: Preprocessing for Tabular Data (Pilot)
Course Content
LessonMarket basket analysis for Supply Chain Management (Pilot)
Course Content
LessonMarket basket analysis: a priori algorithm (Pilot)
Course Content
LessonTask: Market Basket Analysis, a Priori Algorithm (Pilot)
Course Content
LessonMarket basket analysis: Frequent Pattern Growth algorithm (Pilot)
Course Content
LessonTask: Market Basket Analysis, Frequent Pattern-growth algorithm (Pilot)
Course Content
LessonMarket Basket Analysis: Evaluation (Pilot)
Course Content
LessonTask: Market Basket Analysis, Evaluation (Pilot)
Course Content
LessonMarket basket analysis: Deployment (Pilot)
Course Content
LessonTask: Market Basket Analysis, Deployment (Pilot)
Course Content
LessonCourse Test - Data Driven Supply Chain Management (Pilot)
Course Content
Topics
Uncategorized
Provided by
-
University of Groningen
Course Includes
- 11 Quizzes
- 1 Certificate of achievement
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