Classroom to Career: Bridging Employability Gaps with Essential and Technical Skills for Aspiring Data Scientists

Washington, DC · May 2025

Poster · Industrial/Organizational

Stephanie Tavarez
University of Hartford
Laura Chacon-Marmolejos
University of Hartford
Hannah Morris
University of Hartford

Abstract

This study examines how a culturally relevant pedagogical approach improves essential soft and technical skills in AI and Data Science for minoritized students. Using a mixed-methods design, the research evaluates skill development proficiency and explores key components contributing to long-term academic and professional success.

Workplace Diversity

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Classroom to Career: Bridging Employability Gaps with Essential and Technical Skills for Aspiring Data Scientists

Abstract

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