diff --git a/1-Introduction/README.md b/1-Introduction/README.md index e21f796cc..b041eb5b8 100644 --- a/1-Introduction/README.md +++ b/1-Introduction/README.md @@ -1,9 +1,10 @@ # Introduction to Data Science ![data in action](images/data.jpg) ->Photo by Stephen Dawson on Unsplash +> Photo by Stephen Dawson on Unsplash In these lessons, you will discover how Data Science is defined and learn about ethical considerations that must be considered by a data scientist. You will also learn how data is defined and learn a bit about statistics and probability, the core academic domains of Data Science. + ### Topics 1. [Defining Data Science](01-defining-data-science/README.md) diff --git a/1-Introduction/translations/README.zh-cn.md b/1-Introduction/translations/README.zh-cn.md new file mode 100644 index 000000000..df7e0dbc7 --- /dev/null +++ b/1-Introduction/translations/README.zh-cn.md @@ -0,0 +1,17 @@ +# 数据科学简介 + +![data in action](../images/data.jpg) +> Photo by Stephen Dawson on Unsplash + +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。你还将明白数据是如何定义的，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。 + +### 主题 + +1. [数据科学的定义](../01-defining-data-science/README.md) +2. [数据科学伦理](../02-ethics/README.md) +3. [数据的定义](../03-defining-data/README.md) +4. [统计与概率概论](../04-stats-and-probability/README.md) + +### 致谢 + +这些课程由 [Nitya Narasimhan](https://twitter.com/nitya) 和 [Dmitry Soshnikov](https://twitter.com/shwars) 用 ❤️ 编写。