Practical AI and Data Science for Engineers  Webinar Series

Data Science and Practical AI for Engineers Series 2

3-Part Webinar Series — That Covers Everything You Need to Get Started with Data Science at Scale

Are you an engineer looking to use data science in your day-to-day role?

We’ve brought together some of the brightest minds in this field to show you how it’s done.

As part of this series, we cover: 


Why is the Data Science within Engineering Movement Important?

At Altair, we believe engineers will unlock the potential of AI at manufacturers, through the convergence of engineering, AI, and HPC.

Jim Scapa
Founder and CEO

Step 1: Data Collection, Preparation, and Understanding

On-Demand Webinar Now Available!

Data Science for Engineers Data Understanding and Preparation

We start our latest series with an introduction to the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework and look at data collection, preparation, and understanding as part of the first step of data science methodology. 

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Step 2: Modeling and Evaluation

On-Demand Webinar Recording Now Available!

Data Science for Engineers Modeling and Evaluation

In the second installment of this series, we talk about specific use cases on the development of prescriptive or descriptive models. 

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Step 3: Deployment and Visualization

On-Demand Webinar Recording Now Available!

Data Science for Engineers Deployment and Visualization Webinar

Our last webinar builds on the previous two sessions to talk about deployment and visualization and measuring the impact. 

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This webinar is perfect for professionals within the areas of quality assurance, production engineering, R&D, and leaders within digital/data transformation

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Sean Headshot
Sean Lang
Data Strategist
Marco Flieber-1-1
Marco Fliesser
Technical Director Data Analytics EMEA
Altair Roland Jones  (304 × 304 px)
Roland Jones
Application Engineer
Bruce Zulu-1-1
Bruce Zulu
Sr. Director, Solutions Architecture, Data Analytics