Type of course:
Digital learning, Path
Language:
EN
Duration:
5 hours
Workload:
6 hours
Proficiency:
Advanced
Target:
Manager, Professionals, Workers
This course provides a comprehensive introduction to data analytics and machine learning techniques essential for manufacturing. Participants will learn to build and evaluate linear and logistic regression models, implement regression projects, and classify data using Bayes networks and other classifiers. Practical skills are developed through hands-on projects, including generating HTML files, ensuring participants can apply these techniques effectively in real-world manufacturing scenarios. The course culminates with a final assessment to solidify understanding and application of the concepts learned.
Learning outcomes
- Identify the roles of stakeholders in a data analytics project.
- Manipulate data and perform basic data analysis.
- Build models to classify data or to predict a numeric value.
LessonRegression implementation project
Course Content
LessonLogistic Regression
Course Content
LessonBayes network
Course Content
LessonLinear and non-linear classifiers
Course Content
LessonClassification implementation project
Course Content
LessonSupervised method chapter evaluation
Course Content
Topics
Digital Transformation, Artificial Intelligence (AI), Data Analytics