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Voltar para Data Processing Using Python

Comentários e feedback de alunos de Data Processing Using Python da instituição Universidade de Nanquim

268 classificações
91 avaliações

Sobre o curso

This course (The English copy of "用Python玩转数据" <>) is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level. This course, as a whole, based on Finance data and through the establishment of popular cases one after another, enables learners to more vividly feel the simplicity, elegance, and robustness of Python. Also, it discusses the fast, convenient and efficient data processing capacity of Python in humanities and social sciences fields like literature, sociology and journalism and science and engineering fields like mathematics and biology, in addition to business fields. Similarly, it may also be flexibly applied into other fields. The course has been updated. Updates in the new version are : 1) the whole course has moved from Python 2.x to Python 3.x 2) Added manual webpage fetching and parsing. Web API is also added. 3) Improve the content order and enrich details of some content especially for some practice projects. Note: videos are in Chinese (Simplified) with English subtitles. All other materials are in English....

Melhores avaliações


21 de out de 2018

The course provides an insight into the basic structure of Python. It will help you in navigating the areas where Python is robust and effective.


19 de mai de 2020

Thank you, everyone.\n\nI really enjoy and learn so much in this python course form Nanjing University. Learning python language is fascinating.

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51 — 75 de 91 Avaliações para o Data Processing Using Python

por Manish k

30 de jan de 2022


por Payel B

16 de set de 2021


por maripalli s

27 de jul de 2020


por Mathew H

15 de fev de 2022

I have read other reviews complaining about how it is not in English and a few things should be kept in context. This is free! And, this is free!

The main lectures are in Chinese; however, there are English subtitles for most videos (not all). But, all slides used in the lectures are provided in English. I​ do not speak Chinese but still managed to follow along after realizing that I should familiarize myself with the downloaded pdfs, and set up the example code, before watching each video.

If you can get past the language barrier (for example, the quizzes and descriptions of assignments can be a little confusing due to errors in translation) i think the material is good because all of the programming is in English.

The only thing that would make this a five in my opinion, even if I spoke Chinese, was that the web links for data scraping and collection were not updated so the code did not run and therefore could not be followed along in the lectures. The scraping/collecting component was of the most interest to me, so a little disappointing because I thought most of the other series were well done, especially for it being a free course.

You will get in return whatever effort and time you are willing to put in to this.

por Rene W

1 de jul de 2017

In sum I liked the course, because the material was presented in detail. The professor mentioned many little things, which are often overlooked or simply not mentioned in similar courses. Furthermore, I liked the stocks examples. Unfortunately, a large part of the presented stock code is broken, because of a recent breaking change of Yahoo Finance's API. Some questions in the quizzes are, in my opinion, not easy to understand, I guess because of an errorneous translation from the Chinese language.

por Kwasi A O

31 de ago de 2020

Great course with detailed and well-explained concepts. Sufficient examples. If taken in English, reading subtitles can be a bit tough. Also Chapter 4 is very loaded and will be good if split into two chapters. On the whole, a very great course

por Thomas B

21 de abr de 2017

Well Done!

It was my first mooc in Chinese, content was interesting, and example were useful (I liked the exemples with the dow jones).

As I tried to follow using Python 3.6, I had difficulties with GUI compatibility and some evolution in SciPy

por Theodor B

17 de mai de 2020

A good course. One thing making it very very inconvenient to study - videos (both slides and audio) are not in English, so you have to read subtitles and look at English slides in a different window. That's the reason for 4 stars.

por Сейтбатталов Ж Е

10 de jan de 2018

The course is very interesting and good, but very short and not detailed, especially 4-th week. There are a lot of real big data as a advantage of this course and bonus is learning GUI.

por J G

6 de jan de 2019

It's actually too simple for me, but I think it's good for the beginners.

por Duke M

14 de jun de 2017


por Abdul L

5 de abr de 2020

Good Content. Audio should have been in english.

por Ravikumar P

3 de set de 2018

English audio might be good to followup easily

por Soham B

30 de mar de 2022

The course is very gooduC

por Vineetha B

13 de jul de 2020


por koruprolu b

11 de abr de 2022


por Pablo V

8 de fev de 2022

Please be aware this course is completely in Chinese. If you are proficient in the language you can take full advantage of the course. Although there are translations to several languages available, it's really hard to keep the pace and fully get the whole information provided.

por Glen M

28 de set de 2021

It should have an english based course for people who learn better listening to the instructor instead of just subtitles but overall seems to be knowledgeable.

por Sree H M

25 de fev de 2019

Since the explanation is in chines language, it takes much time to complete the course

por praveen k s

15 de set de 2018

Please provide english audio it will be more helpful.

por Laura R

2 de jun de 2022

I do not understand chinisee

por freyja g

19 de jan de 2017

good, but not enough ..

por Deleted A

30 de dez de 2020

not so good

por Swastika B

3 de jun de 2022