本课程 (Please click https://www.coursera.org/learn/python-data-processing for English version) 主要面向非计算机专业学生，从Python基本语法开始，到Python中如何从本地和网络上进行数据获取，如何解析和表示数据，再到如何利用Python开源生态系统SciPy对数据进行基础和高级的统计分析及可视化，包括数据探索和预处理的具体方法，到最后如何设计一个简单的GUI界面来表示和处理数据，层层推进。
整个课程以财经数据为基础，通过构建一个个喜闻乐见的案例，让大家可以以更直观的方式领略Python的简洁、优雅和健壮，同时探讨Python除了在商业领域之外在文学、社会学和新闻等人文社科类领域以及在数学和生物等理工类领域同样拥有便捷高效的数据处理能力，并可以触类旁通将其灵活应用于各专业中。 近期（2019年11月6日已更新完毕）本课程进行了全面改版，新版主要在以下几个方面做了改变： 1. 丰富了Python基础的案例实际操作和讲解； 2. 增加和扩展了如NumPy包的矢量运算和广播思想及常见应用，数据探索与预处理的多个环节，基于pandas的数据分析及数据挖掘案例等。 有些是直接在原视频上修改，有些是以拓展视频的方式呈现，特别是新录制的视频因为想说的内容很多所以时长较长，很多都超过了20分钟，小伙伴们学习时可能会比较辛苦，加油加油！
JW
课程不仅做了python语言入门教学，而且围绕scipy三大件普及了数据处理的基本操作和应用场景，对于数据处理工作来讲python有了scipy真是如虎添翼，课程很棒，通俗易懂，面面俱到。只是gui这块显得有点多余，毕竟用web来展示才是主流。
GG
课程标题为玩转“数据”，但是第5章却讲了GUI，没有针对数据分析，还不如为python入门或一览，当然老师讲的还是不错的，5周时间太短可能也是原因所在，最后表达我的老师的感谢！
HR
This course is really interesting! Something in week4 and week5 is relatively complex and we can explore more in this field later!
BC
课程前4章很有针对性和趣味性，适合非计算机类学生学习入门，第五章有些偏难不好理解和运用，希望可以着重在前4章的讲解细化，同时升级到python3.6哈~~ 感谢，老师的教授
XH
Awesome! I've taken Michigan's Python specialization, but I would say this course from Nanjing University is much better.
QL
北美金融硕士，上过很多python的网课，不得不说这个是最好的一个。课程难度设置适中，不像之前上的许多课程默认是程序员级别；覆盖面也非常广，基本覆盖了金融、统计等所需要的所有领域。
LL
首先感谢大壮老师。老师的课程对于我收获非常大。不但让我学会了数据分析的基础知识，同时还从多个领域拓宽了应用的视野。真的是收益匪浅。我是计算机专业的学生，因此非常热切的希望大壮老师能有更多的课程推出，非常期待。。不过有一点要给老师吐槽下，非计算机专业的，后两周的课程，恐怕真的是听不懂。
LJ
老师五星好评，风趣接地气，课程内容入门也足够。推荐该课程稍有不足的部分是 数据处理分析统计绘图部分，概念内容很多，现阶段课程看着有些吃力(完成课程需要经常上网搜索)可能的话希望清晰结构，各个有所展开。谢谢大壮老师
D
从基础讲起，到各种方向。最好的是，从很多方面介绍了python的用处很适合初学者来此寻找方向！ Start from the basics and go in all directions.Best of all, in many ways, the use of python is well suited for beginners to find directions!
DD
Very good lessons for beginners to learn Python, it's clear and interestinf
KC
The teacher use a very Kind manner to communicate with us!Very appreciated that!
WF
Nice course, it is helpul for the freshmen to begin data analytics using python.
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首先感谢大壮老师。老师的课程对于我收获非常大。不但让我学会了数据分析的基础知识，同时还从多个领域拓宽了应用的视野。真的是收益匪浅。我是计算机专业的学生，因此非常热切的希望大壮老师能有更多的课程推出，非常期待。。不过有一点要给老师吐槽下，非计算机专业的，后两周的课程，恐怕真的是听不懂。
我是学过coursera上“人人都懂的编程课”，然后学的这门课。这门课特点是言简意赅,包括常用的第三方库都介绍到了，如果听起来有困难，可以先学一下“人人都懂的编程课”，那门课非常基础。
终于完成啦！哈哈哈大壮老师太可爱了。嗯，作为我第一个完成的网课，我要和大家分享一些看法。课程难度：偏高。 我是学商科的（完全0基础），自认为理科并不能算弱。但要跟上课程还是要费很大工夫的。说实在不太建议完全没有编程基础的同学来学，也可能是我个人太弱了吧。但有一些编程的基础概念完全没有提及，是需要同学在课后自己补的，这一部分可以说非常折磨人了。一节课10分钟几个概念，我经常翻来覆去要听好多好多遍，建议同学自己补练习题，不然真的很难跟上。老师：一百昏啊一百昏，我都成了大壮老师的粉丝了(✧◡✧)课程设置：我觉得设置的太全了，以至于刚对request有点感觉，啪，过了；刚对data frame有点感觉，啪，又过了。。。而且个人觉得最后一部分实在太快，可以考虑删去GUI这一部分，先把基础打牢比较适合我们这类以实用为目的的人综合：4.5❤ 老师加分加分，但是课程设置和难度有可以商榷的地方∠(°ゝ°)敬礼！谢谢老师带我领略到了编程的世界！感谢！
虽然还是有所欠缺，但是已经是国内MOOC中制作水平较高的了，为母校和大壮老师的团队打Call！
希望以后能在以下方面有所改进：
1.在每一次视频课结束后就添加一次阅读材料，而不是每一小单元结束后才是大段的阅读材料，因为原先那样不利于调动阅读材料的积极性 ，也不利于与视频课配合；
2.最后期末测试内容太多了，且很多是概念性的，说实话已经记不住了。。。（可能是我太笨或者不够认真）可否适当把题目向前挪，也就是把部分题目在此前每个大单元测试中就测掉；
3.可否最终设计一个填空型的编程题目，这个题目可以涉及此前讲过的很多知识；当然这个测试需要大壮老师进行一些指导说明，比如大概可以选择哪些函数、什么循环结构
最后，非常希望NJU、大壮老师可以制作更多精良的MOOC，成为国内大学MOOC的领先者！
当第一次学习时，没有坚持。后来有空一次性学完时，同时搜索其他材料，发现这个课程讲的还是比较全，而且有用的。
刚刚学习结束, 还留了一个GUI的大项目没做完, 先考完了试. 个人觉得第四周开始难度比较大, 聚类分析这些我找了统计的教科书复习了才明白. 第五周的GUI部分其实难度蛮大的, 这部分讲解不太够, 最后做项目我想模仿老师的做都感觉很吃力...
总的下来, 感觉主要学习的是python编程的基本, DataFrame这个数据结构相关的操作和很基本的统计分析.
总结: 这是一门合格的Python在数据应用方面的入门课.
I wrote this review in English so all Cousera students can unsderstand. This course is intended for students with a mixture background in statistics & CS and trying to shift to python programming from another OO or statistic language, not for new learners as indicated in the prerequisites. The teacher follows a pedagogic Chinese teaching style, making it a python dictionary —— too few practices and too many skills. I personally find the web mining part ridiculously advanced and I am even required to be tested on that. The course's high grade is mainly due to the Chinese' traditional respect towards teachers. If you need a practical python introductory course, the Programming for Everyone Specialization of U by Michigan is much much better.
从基础讲起，到各种方向。最好的是，从很多方面介绍了python的用处很适合初学者来此寻找方向！
Start from the basics and go in all directions.Best of all, in many ways, the use of python is well suited for beginners to find directions!
It is a good course. Starting from the very basic part, the course is suitable for beginner. Those methods that are introduced in the course are all useful, without redundant part.
That's a very useful and fundamantal class for a novice~Now I need to use Python to create my dissertation ~
The professor is really good, with interesting explanation and easy-to-understand examples. And the content of the course is really rich with a wide range of applications of Python. The only little problem for a beginner like me is that maybe there is too much information in this one single course and sometimes I can't really master the skills in one sector. It will be better if the course can be split into several parts with more profound explanation and more exercises to practice.
Very good course for getting started with basic Python. Not too slow. The tutor has good sense of humor - the content is not boring at all. The exercises are helpful for understanding what you have learnt. Not too easy or too difficult. I have never done Python before and got 100% mark. I will do more Python because this course has given me a good start. Look forward to the other related courses coming up!
很好的课程，帮助我短时间可以掌握了许多基础知识。
很好的老师，努力精简而全面地阐述了基本知识，还附加了很多自己写的示例程序，很有用！
Someone in the comment said, "The comments are all praise because Chinese people have a tradition of respecting their teachers and they certainly will not give any bad reviews to the teachers." Reading this, I think this person has never been to a university.
课程很棒！老师讲的很好，课程资源也很详细，学到了很多Python知识，如果南京大学和张老师还会推出其他课程，还会去上的！
The course is quite useful and great! I've learned a lot about python via this course. I'd recommend this course to my classmates and my friends. I will attend more courses if given by Nanjing University and prof.Zhang!
1.Main topics about python has been explained clearly
2. The tests after lessons are supposed to be answered & re-examined and can be confirmed independently with Python(x,y)
3. The final application is funny.
4. Look forward for more lessons like this.
5. Thanks for sharing.
Very helpful! introductory course! It triggers my interest in data analysis. Great thanks to the whole teaching team and Prof.Dazhuang for all the effort! You made this course so friendly to a beginner;) I really enjoy taking this course and also prof's bonus surprise!
This introductory course is fairly detailed and with depth. I have used Python for a while, but still I feel this course is a nice review to revisit basics in Python. It is a pity that it's only in Chinese and there aren't hands on programming projects but only quiz.
great to see Chinese speakers to offer python couses on coursera and it is a great eye openner for python. It touches all aspect of the python, give you an panarama view of the very popular programming language.
A nice course for Python beginner or even Programming beginner, but not suitable for a professional developer, most of the concepts are too basic, the SciPy lectures are complicate to me though.
Miss Zhang Li is so fun and humorous, and her lectures are very easy to understand. By taking this course, i got a fundamental picture about using Python to analyze data.