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Data processing in predictive maintenance

By Laboratory for Manufacturing Systems and Automation of Patras - BIBA

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

15 minutes

Workload:

2 hours

Proficiency:

Advanced

Target:

Manager, Professionals, Students, Workers

Data Science is a combination of multiple disciplines that uses statistics, data analysis, and machine learning to analyze data and to extract knowledge and insights from it. Data is information units structured (or unstructured some cases) regarding observations of a process, phenomenon or literally anything that can be observed or recorded. Therefore, there are data and data science. How do they work together?Data Science is about data gathering, analysis and decision-making. Data Science is about finding patterns in data, through analysis, and make future predictions. By using Data Science, companies are able to make:

•Better decisions (should we choose A or B)

•Predictive analysis (what will happen next?)

•Pattern discoveries (find pattern, or maybe hidden information in the data)


Learning outcomes

  1. Evaluate the work of a data scientist
  2. Understand how data is extracted from equipment
  3. Design a basic data processing pipeline

Topics

Advanced Manufacturing, Digital Transformation, Electronic, Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Cloud Computing, Data Analytics

Provided by

Content created in 2022
+223 enrolled
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