Teaching Data Science: An Overview

Teaching data science effectively requires balancing theoretical foundations with practical applications, accommodating diverse backgrounds, and preparing students for rapidly evolving careers. This section provides guidance for educators at all levels.

Resources for Getting Started

Curriculum Development

• Data Science Education Community: Connect with other educators
• Carpentries Workshops: Training in computational and data skills
• NASEM Report: “Data Science for Undergraduates” provides comprehensive guidance

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