Steven Nooijen

Meet Steven Nooijen, trainer at Xebia Academy. Steven is a data science trainer and trains on behalf of Xebia in Processing data with R and Data Science Accelerator.

Steven likes to combine thorough data analysis with strategic business thinking. Being a data science consultant since 2014 he has demonstrated the added value of analytics in several industries now, often redefining business processes using data-driven insights. To make his point Steven masters not only R and Python, but also PowerPoint. 

Before becoming a consultant, Steven studied Econometrics at the University of Amsterdam and worked in the financial industry. He decided to become a data scientist after investigating how sentiment derived from social media text data influences financial markets. His work got published in the Journal of Behavioral Finance. Although the algorithm didn’t make him rich, he gained valuable experience in modelling and programming with R. Something that he now teaches to clients at Xebia Data. 

Steven is a data and travel enthusiast. In his spare time, he combines both passions by building a recommendation engine for travel inspiration. Need a suggestion for your next trip? Check out his hobby project here

Upcoming courses

LLMOps on GCP

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with the Google Cloud Platform (GCP). In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success. Elevate your LLMOps proficiency on GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape. In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success. Elevate your LLMOps proficiency on GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape.

Can’t find the course you’re looking for? There’s more!