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4min chapter
222: The Future of Data Modeling: Breaking Free from Tables with Best-Selling Author, Joe Reis of Ternary Data
The Data Stack Show
Navigating the Tensions in Data Education: From Theory to Practice
This chapter explores the disconnect between academia and industry in data education, focusing on the reluctance of professors to revise curricula for current market needs. It emphasizes the necessity for practical training and standardized hiring practices to ensure students acquire the skills vital for successful careers in data science and analytics.
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Discover
highlights
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