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Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers
Learn MoreWith rapid digitization and systemic data talent shortage, developing organization-wide data fluency is top of mind for many Chief Data and Learning Officers today. According to Deloitte, the number of jobs posted for analysis skills has consistently surpassed the number of employees available for these roles.
The need for data science skills is also increasingly prevalent as organizations bring AI to scale. According to a PwC survey of more than 32,000 workers, 77% of employees are looking for opportunities to reskill on digital and data skills amidst higher concerns of automation, and the need to work with automated systems.
As a consequence, organizations are building internal data science skill academies to accelerate their data fluency and embed learning in the flow of work.
This guide will offer you practical tips and advice to help you:
Set up an internal data science skill academy
Drive higher engagement with your learning program for data fluency
Personalize and diversify your learning program for data fluency
Data Science Evangelist at DataCamp
Practical steps to help you measure the ROI of L&D programs for data skills.
Successful data literacy upskilling programs from a variety of industries
Find the appropriate distribution of data skills across your organization.
Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers
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