Type of course:
Digital learning, Path
Language:
EN
Duration:
1 hour, 10 minutes
Workload:
6 hours
Proficiency:
Advanced
Target:
Professionals, Students
This Learning Path covers various topics in data analytics of artificial intelligence applications for the manufacturing sector, including exploratory data analysis in melamine faced boards, big data analysis for hydroelectric power plants, data analytics of production lines and digital twins, and control of production processes in the semiconductor industry.
Learning outcomes
- The learner will be able to demonstrate an understanding of the key characteristics of Big Data
- The learner will be able to effectively utilize Jupyter Notebook as a tool for data analysis, visualization, and coding in various analytical contexts.
- The learner will be able to model a data analytics problem
LessonBig data analysis for hydro-electric powerplant
Course Content
LessonProfiling and similarity for digital data analytics
Course Content
LessonControl of production process in the semi-conductor industry
Course Content
LessonData analytics quiz of AI for Manufacturing
Course Content
Topics
Digital Transformation, Artificial Intelligence (AI), Data Analytics
Provided by
-
Philips Consumer Lifestyle
+224
enrolled
Course Includes
- 1 Quiz
- 1 Certificate of achievement
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