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Building an Internal Data Skills Academy

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.
Thursday February 29, 11AM ET
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Description

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.

Presenter Bio

Adel Nehme Headshot
Adel NehmeData Science Evangelist

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

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