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Building an In-House Data Academy


In September 2019, McKinsey urged organizations to create in-house "data academies" to improve their employees' data literacy and prepare them for a data inundated world. Now more than ever, organizations are seeking ways to develop and retain a workforce with the necessary data skills, and internal data academies stand out as an effective method for scaling data competencies.

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

Key Takeaways:

  • A deep dive into the key benefits of data literacy for businesses, including improved decision making, increased efficiency, enhanced competitiveness, and more.

  • Best practices in effectively communicating the value of data literacy to your organization

  • Practical strategies for building a business case for data literacy, including identifying key stakeholders and leveraging industry research and benchmarks


Adel Nehme Headshot
Adel Nehme

VP of Media at DataCamp

VP of Media at DataCamp | Host of the DataFramed podcast
Yashas Roy Headshot
Yashas Roy

Learning Solutions Architect

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