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Pradip mohapatra
Pradip mohapatra

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HOW TO CLOSE THE TALENT GAP WITH DATA SCIENCE DEMOCRATIZATION?

The demand for data science professionals is growing at an unprecedented rate as more and more organizations are looking to leverage the power of data science to boost their business operations and need skilled and qualified professionals. However, there is a limited pool of data scientists which is creating a significant talent gap. So, data science democratization is one option to fill this skill gap which can be done by equipping non-technical users with user-friendly data analysis tools and helping them to explore data, identify trends, and make data-driven decisions.

This will further help to free up data scientists who can dedicate their time and expertise on more important and complex data science modeling and analysis. Data science democratization can also help to encourage collaboration as business users can team up with data scientists and ask them informed questions and data science professionals can provide them guidance to build advanced solutions.

It is not surprising that 90% of data science professionals feel data science democratization is important for their companies.

Found this interesting? Then download your copy of a detailed guide by USDSI® on how to minimize the skill gap by data science democratization and learn various aspects of making data science accessible to everyone.

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