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Data Science for Manufacturing: Data Understanding (Pilot)

By University of Groningen

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

10 minutes

Proficiency:

Beginner

Target:

Manager, Professionals, Workers

What if the key to transforming manufacturing lies hidden in your data? Imagine turning inefficiencies, quality concerns, and downtime into opportunities for growth and innovation. This lesson is your gateway to harnessing the power of data science in manufacturing.

“Without data, you’re just another person with an opinion.” — W. Edwards Deming.

Designed for professionals like you, this lesson offers an overview of tools and techniques to understand, collect, and prepare data for solving real-world challenges. From predictive maintenance to defect detection, you will learn how to turn challenges into opportunities.

By the end of this lesson, you’ll be ready to use data science as a strategic tool to drive success in your manufacturing operations. Dive in and discover how to make your data work for you.

About The Author

Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using IoT and ML techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.


Learning outcomes

  1. By the end of this lesson, learners will be able to list important quality dimensions of the collected data and identify common data quality issues.
  2. By the end of this lesson, learners will be able to summarize and visualize datasets using common exploratory data analysis (EDA) techniques.
  3. By the end of this lesson, learners will be able to extract insights from a dataset that align with a given business objective.

Topics

Digital Transformation, Machine Learning, Artificial Intelligence (AI)

Provided by

Content created in 2024
+23 enrolled
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