📄 中文摘要
在人工智能迅速发展的背景下，数据科学家面临着新的挑战与机遇。虽然AI可以自动生成代码，但数据科学家仍需掌握关键知识以引导项目的方向。了解AI的工作原理、数据处理的基础、模型评估与优化等核心概念，能够帮助数据科学家在这一变革中保持竞争力。掌握这些技能不仅能提升个人能力，还能确保在团队中发挥更大的作用，适应未来的技术环境。数据科学家需不断学习与更新知识，以应对AI时代的变化。
缺失的课程：人工智能编码代理时代数据科学家的核心概念
📄 English Summary
The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding Agents
In the rapidly evolving landscape of artificial intelligence, data scientists are presented with new challenges and opportunities. While AI can autonomously generate code, it is crucial for data scientists to master essential knowledge to steer projects effectively. Understanding the workings of AI, the fundamentals of data processing, and the principles of model evaluation and optimization are core concepts that can help data scientists maintain their competitiveness in this transformation. Acquiring these skills not only enhances individual capabilities but also ensures a more significant role within teams, adapting to future technological environments. Continuous learning and knowledge updating are imperative for data scientists to navigate the changes brought by the AI era.