Data Science for Manufacturing: Data Preparation (Pilot)

SUMMARY

Have you ever wondered how raw data transforms into actionable insights that revolutionize manufacturing? How can you turn complex industrial data into opportunities for innovation? This lesson will guide you through mastering data preparation for manufacturing.

“In manufacturing, data is not just a byproduct—it’s the lifeblood of smarter decisions and competitive advantage.”

This practical and engaging lesson dives into the data preparation phase of the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, tailored specifically for manufacturing. From cleaning noisy sensor readings to crafting features that unlock hidden patterns, you will learn how to make your data analysis-ready.

By the end of the lesson, you will be confident in handling unstructured manufacturing data, ensuring your analysis and models are built on a solid foundation.

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.