Type of course:
Digital learning, Path
Language:
EN
Duration:
3 hours
Workload:
6 hours
Proficiency:
Intermediate
Target:
Manager, Professionals, Workers
This course is designed to equip managers, operators, and professionals in the manufacturing industry with the knowledge and skills to adopt and implement data analytics within their processes. The goal is to improve efficiency, productivity, and decision-making by leveraging data science. The learning modules will cover the complete data analytics journey, emphasizing practical applications, use cases, and success stories in manufacturing.
Learning outcomes
- By the end of this course, learners will be able to discuss real-world business problems within the manufacturing industry, demonstrating a comprehensive understanding of the unique challenges and opportunities in this sector with respect to data science.
- By the end of this course, learners will be able to list and describe the steps of a data science project, from business problem to deployment.
- By the end of this course, learners will be able to recognize various data sources in a manufacturing environment.
LessonData Science for Manufacturing (Pilot)
Course Content
LessonKey Manufacturing Problems Addressed by Data Science (Pilot)
LessonData Types and Sources in Manufacturing (Pilot)
Course Content
LessonQuantitative & Qualitative Variables (Pilot)
Course Content
LessonMapping Manufacturing Problems to Data-Driven Solutions (Pilot)
Course Content
LessonIntroduction to CRISP-DM in Manufacturing (Pilot)
Course Content
LessonData Science for Manufacturing: Business Understanding (Pilot)
Course Content
LessonSupervised, Unsupervised, and Reinforcement Learning (Pilot)
Course Content
LessonData Science for Manufacturing: Data Understanding (Pilot)
Course Content
LessonData Science for Manufacturing: Data Preparation (Pilot)
Course Content
LessonData Science for Manufacturing: Modeling (Pilot)
Course Content
LessonRegression, Classification, and Clustering (Pilot)
Course Content
LessonData Science for Manufacturing: Evaluation (Pilot)
Course Content
LessonOverfitting vs. Underfitting (Pilot)
Course Content
LessonData Driven Model Deployment in Manufacturing (Pilot)
Course Content
LessonMonitoring and Maintaining Deployed Data Driven Models in Manufacturing (Pilot)
LessonData science tools - VIDI (Pilot)
Course Content
LessonSet up - VIDI (Pilot)
Course Content
LessonMachine learning models - VIDI (Pilot)
Course Content
LessonCourse Test - Data Science for Manufacturing (Pilot)
Course Content
Topics
Uncategorized
Provided by
-
University of Groningen
-
Grenoble INP – UGA
+25
enrolled
Course Includes
- 12 Quizzes
- 1 Certificate of achievement
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