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  • On-demand Webinar

From Raw Data to Meaningful Insights: A Data Analytics Overview

In this webinar, UL Solutions experts explore key data analytics concepts and techniques to help you make better use of your data and support more informed decision making.

Person looking at an analytics dashboard on a tablet

Watch now: From Raw Data to Meaningful Insights: A Data Analytics Overview

Data drives everything, and effective data analytics is crucial for informed decision-making. Our on-demand webinar provides an overview of data analytics, covering general topics such as data processing and visualization, by exploring a real-world example.

Learn from code examples and interactive plots that illustrate key concepts and techniques. We understand that data analytics is not without challenges and pitfalls, including data wrangling and accessibility. Our experts share their knowledge on how to overcome these obstacles using popular tools such as Python libraries and visualization frameworks. Gain a deeper understanding of how to extract insights from your data, and communicate results effectively.

Webinar date: April 17, 2025

 

Speakers

Maximilian Lattka

Software and data engineer at UL Solutions Software Intensive Systems

Maximilian holds a master's degree in computer science, with a focus on data analytics. He has been an active participant in data analytics communities since 2020 and works as a software engineer at UL Solutions, applying his expertise to drive business outcomes. To share his practical knowledge, he also develops and leads data analytics training programs.

Patrick Seifert

Software and data engineer at UL Solutions Software Intensive Systems

Patrick's academic background is rooted in Natural Language Processing (NLP) and predictive maintenance, his bachelor's and master's theses focused on these areas.

With over 10 years of experience in software engineering, Patrick has developed several applications and solutions, especially for the automotive industry. He brings extensive knowledge developing data analytics solutions with Python and Jupyter in cloud environments.

 

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