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Building an Internal Data Skills Academy


In September 2019, McKinsey urged organizations to establish in-house "data academies" to enhance their employees' data literacy and prepare them for a data-inundated world. Five years after this call to action, building a data academy is essential for driving organization-wide data skills transformation.

This webinar will cover the key steps for building an internal data academy, including defining learning paths, securing executive support, defining learning personas, scaling learning communities, and much more. We will also showcase examples from DataCamp for Business customers who have achieved success with their own internal data academies.

Key Takeaways:

  • How in-house data academies can scale your workforce’s data skills
  • Best practices for launching data academies including defining learning paths, securing executive support, developing learning communities, and more.
  • A showcase of successful data academies and keys to their success.
Adel Nehme Headshot
Adel Nehme

VP of Media at DataCamp

VP of Media at DataCamp | Host of the DataFramed podcast
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