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Opiniones y comentarios de aprendices correspondientes a Data Processing Using Python por parte de Universidad de Nankín

236 calificaciones
78 reseña

Acerca del 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....

Principales reseñas

21 de oct. 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 may. 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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26 - 50 de 76 revisiones para Data Processing Using Python

por Zhilin Z

20 de ago. de 2018

Very good course. Learnt a lot about data processing using python. The teacher is intresting. I like her.

por Ruiping G

17 de ene. de 2021

This is a great course!!! Thank you so much Prof. Zhang for offering this course here!!!

por Vijayalakshmi. K

28 de jun. de 2020

Excellent input and created interest to work in Python for data processing . Thank You.

por Jingxiong L

22 de nov. de 2018

Really helpful and covers a lot of real stuff.

por Rubén R N

14 de may. de 2020

It is a very useful course for beginners.

por Andrew W J

11 de jul. de 2021

Nice to learn Data science for beginners

por XIAO X

23 de sep. de 2018


por 刘芸芸

31 de oct. de 2017


por SHAH A S

6 de jun. de 2019

Very helpful and useful course.

por Dušan M

20 de abr. de 2020

Very satisfied with course!!!

por 代江海

27 de oct. de 2017


por 陈文军

7 de feb. de 2018


por Tommy L

5 de jun. de 2017

Very good. Keep it up

por Manjula

26 de jun. de 2020

good platform

por hexinlin

30 de may. de 2018


por Nikhil K S

6 de abr. de 2018

Nice course.

por Justin J

9 de mar. de 2019

Good course

por Mike C

26 de may. de 2017

Good Course

por Jack 买

2 de ene. de 2018


por pangxie0501

3 de may. de 2017


por Payel B

16 de sep. de 2021


por maripalli s

27 de jul. de 2020


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