Data Science for Engineers Series 2: Data Collection, Preparation, and Understanding

We kick off the Data Science for Engineering series by covering the first step of data science methodology.

During this 90-minute presentation and Q&A we discuss:

  • The "why" of engineering-data science convergence holds the key to unlocking the full potential of data and AI in manufacturing​.

  • The data science basics including the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework​.

  • How Mabe, a leader in home appliances, is leveraging the convergence of big data, analytics, and simulation to accelerate product innovation​.

  • How you can gather, combine, structure, and organize engineering data using a self-service data preparation solution​ with a technical demonstration of Monarch.

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