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# 复盘 6 | 数据科学家与数据科学团队是怎么养成的？
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今天，我准备了24张知识卡，和你一起复盘数据科学家养成和数据科学团队的养成这两个模块。在这两个模块里，我们一共讨论了8个话题，从方方面面分享了数据科学家所需具备的技能；也从组建一个团队的角度出发，让你更了解自己在团队中的角色；最后，我们还聊了雅虎研究院等知名团队，帮你拓展视野。
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提示：点击知识卡跳转到你最想看的那篇文章，温故而知新。
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## 数据科学家基础能力
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[](https://time.geekbang.org/column/article/308)
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[](https://time.geekbang.org/column/article/311)
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[](https://time.geekbang.org/column/article/316)
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## 数据科学家高阶能力
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[](https://time.geekbang.org/column/article/382)
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[](https://time.geekbang.org/column/article/385)
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[](https://time.geekbang.org/column/article/388)
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## 数据科学家职场话题
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[](https://time.geekbang.org/column/article/2504)
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[](https://time.geekbang.org/column/article/2565)
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[](https://time.geekbang.org/column/article/2625)
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## 数据科学家套路
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[](https://time.geekbang.org/column/article/10801)
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[](https://time.geekbang.org/column/article/10972)
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[](https://time.geekbang.org/column/article/11307)
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## 数据科学团队基础
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[](https://time.geekbang.org/column/article/13471)
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[](https://time.geekbang.org/column/article/13665)
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[](https://time.geekbang.org/column/article/13816)
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## 数据科学团队招聘
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[](https://time.geekbang.org/column/article/3261)
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[](https://time.geekbang.org/column/article/3361)
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[](https://time.geekbang.org/column/article/3614)
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## 数据科学团队高级话题
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[](https://time.geekbang.org/column/article/156)
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[](https://time.geekbang.org/column/article/3744)
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[](https://time.geekbang.org/column/article/3909)
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## 著名数据科学人工智能团队漫谈
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[](https://time.geekbang.org/column/article/379)
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[](https://time.geekbang.org/column/article/40617)
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[](https://time.geekbang.org/column/article/40765)
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## 积跬步以至千里
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最后，恭喜你学完了这个模块的所有内容。不管你是一名数据科学或人工智能的初学者，还是已经积累很多宝贵的经验，亦或要组建自己的数据科学或人工智能团队，都希望这一模块的内容对你有所帮助和启发。
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学无止境，选择了人工智能这条路，就意味着我们选择了一种生活方式。今天就让我们以几句诗结尾，作者是我很喜欢的美国诗人罗伯特·弗罗斯特（Robet Frost）。
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Two roads diverged in a wood, and I—
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I took the one less traveled by,
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And that has made all the difference.
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树林中分出两条路，而我——
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我选择了那条少有人走的路，
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从此一切与众不同。
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欢迎你给我留言，和我一起交流讨论。
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