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5 Best Practices for Launching an Internal Data Science Bootcamp


In a rapidly evolving digital landscape, upskilling and reskilling the broader organization on data & AI skills is not just an advantage; it's a necessity. While online courses are an excellent avenue for building data & AI skills, how can you accelerate learning and get your organization excited about skills transformation?

Enter the power of internal Data Science Bootcamps. These immersive, instructor-led programs are tailored to your organizational needs, fostering a culture of continuous learning and innovation. In this session, Hannah Cuypers, Project Leader of Digitalization & IT at Porsche AG, unveils the keys to successfully launching such bootcamps. From building a foundational curriculum that resonates with your teams to best practices on the day of, this webinar offers actionable insights that will help kickstart your organization’s learning journey.

Key Takeaways:

  • Why building an internal data science bootcamp can be a great way to accelerate data transformation within your organization
  • Best practices to adopt when launching internal instructor-led trainings for data skills
  • Ways to scale blended learning programs using instructor-led bootcamps


Hannah Cuypers Headshot
Hannah Cuypers

Project Leader Digitalization & IT @ Porsche AG

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