Skip to content

Commit 68e2038

Browse files
committed
[zh-cn] 1/README
1 parent b53ed97 commit 68e2038

File tree

2 files changed

+19
-1
lines changed

2 files changed

+19
-1
lines changed

1-Introduction/README.md

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1,9 +1,10 @@
11
# Introduction to Data Science
22

33
![data in action](images/data.jpg)
4-
>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>
4+
> 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>
55
66
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.
7+
78
### Topics
89

910
1. [Defining Data Science](01-defining-data-science/README.md)
Lines changed: 17 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,17 @@
1+
# 数据科学简介
2+
3+
![data in action](../images/data.jpg)
4+
> 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>
5+
6+
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。
7+
8+
### 主题
9+
10+
1. [数据科学的定义](../01-defining-data-science/README.md)
11+
2. [数据科学伦理](../02-ethics/README.md)
12+
3. [数据的定义](../03-defining-data/README.md)
13+
4. [统计与概率概论](../04-stats-and-probability/README.md)
14+
15+
### 致谢
16+
17+
这些课程由 [Nitya Narasimhan](https://twitter.com/nitya)[Dmitry Soshnikov](https://twitter.com/shwars) 用 ❤️ 编写。

0 commit comments

Comments
 (0)