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18 lines
974 B
18 lines
974 B
# 数据科学简介
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![data in action](../images/data.jpg)
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> Photo by <a href="https://unsplash.com/@dawson2406?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Stephen Dawson</a> on <a href="https://unsplash.com/s/photos/data?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
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在这些课程中,你将了解到数据科学是如何定义的,以及数据科学家必须考虑的伦理问题。你还将学习数据是如何定义的,还有一些关于统计学和概率的知识,这是数据科学的核心学术领域。
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### 主题
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1. [数据科学的定义](../01-defining-data-science/README.md)
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2. [数据科学伦理](../02-ethics/README.md)
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3. [数据的定义](../03-defining-data/README.md)
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4. [统计与概率概论](../04-stats-and-probability/README.md)
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### 致谢
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这些课程由 [Nitya Narasimhan](https://twitter.com/nitya) 和 [Dmitry Soshnikov](https://twitter.com/shwars) 用 ❤️ 编写。
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