This course (The English copy of "用Python玩转数据" <https://www.coursera.org/learn/hipython/home/welcome>) 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.
Status: UI Components
UI Components
Status: Python Programming
Python Programming
Beginner·Course·32 hours
Featured reviews
5.0
·Reviewed Sep 11, 2017
It's a basic Python lesson, but providing some data analysis and GUI concepts, which needs you to explore after this class or in the future.
5.0
·Reviewed Jan 16, 2021
This is a great course!!! Thank you so much Prof. Zhang for offering this course here!!!
5.0
·Reviewed Jun 27, 2020
Excellent input and created interest to work in Python for data processing . Thank You.
4.0
·Reviewed Jan 5, 2019
It's actually too simple for me, but I think it's good for the beginners.
5.0
·Reviewed Jun 5, 2018
Very nice course. Could be extended to 12 weeks with more detailed coverage of packages. Please upload English audio tracks.
5.0
·Reviewed May 25, 2022
Course content is good but it is in chinese language.
5.0
·Reviewed Jan 3, 2024
Great course for data analysis, processing, and representation.
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.
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K
Komarov
1.0
·Reviewed Feb 19, 2017
- In this course, using python 2.x
- The whole course in Chinese, no English subtitles
- There are no additional materials or information
- There is nothing - only the Chinese
P
Pedro
1.0
·Reviewed Jan 25, 2017
There is no subtitles in English for the video lectures and the slides are in Chinese.
S
Siying
1.0
·Reviewed Jan 23, 2021
The worst off-campus course I have ever had.
First, the whole course was delivered by CHINESE. I filtered the courses setting language English, but this course, NO ENGLISH AT ALL.
Second, the instructor only gave some definition stuff and never showed how to write a program. Do you know the most ineffective teaching way is just reading the slides aloud?
This course should be posted to CHINESE online uni for the students who only want to know WHY PYTHON IS CORRELATED WITH DATA PROCESSING. ^^
Hope no one will waste time and be angry like me.
S
Sudhanshu
1.0
·Reviewed Mar 3, 2018
chineese language only!
A
Arshad
1.0
·Reviewed May 6, 2020
The course should be in English.
J
Juliana
1.0
·Reviewed May 13, 2020
Not English
S
Sourav
5.0
·Reviewed Jun 6, 2018
Very nice course. Could be extended to 12 weeks with more detailed coverage of packages. Please upload English audio tracks.
C
Craig
1.0
·Reviewed Dec 12, 2020
THe language of the course should be stated upfront. I had no idea that this was not in English.
Also, when I go to un-enroll from the course it still shows in my dashboard!!
Much of the syntax is outdated in updated external libraries. Would have been helpful to include Python 3 syntax for all programs. Slides were not translated to English, so external sources were required to understand many of the slides.
J
Jim
1.0
·Reviewed Jan 6, 2021
It's all in Chinese, it got subtitles though yet not doable.
S
SWAPNENDU
1.0
·Reviewed Dec 24, 2020
ALL THE VIDEOS ARE IN SOME UNKNOWN LANGUAGE
J
Jianping
5.0
·Reviewed Sep 11, 2017
It's a basic Python lesson, but providing some data analysis and GUI concepts, which needs you to explore after this class or in the future.
R
Ruiping
5.0
·Reviewed Jan 17, 2021
This is a great course!!! Thank you so much Prof. Zhang for offering this course here!!!
A
ABHAY
5.0
·Reviewed Sep 28, 2020
IN HINDI I WOULD LIKE TO SAY MASTT MAAL MAM PADHA RHI THI TO LANGUAGE BHI DHYAN NHI DIYA BSS PADH GYA ...AND THE END I WOULD LIKE TO SAY I LOVE YOU MAM...AS WELL AS THE WAY U MADE DATA PROCESSING EASY THANKS ALOT.
S
sunmo
5.0
·Reviewed Oct 22, 2017
课程比较短小精悍,覆盖面相对较广,只是我英文不好,有些题目实在时琢磨不透意思。
A
Aaron
2.0
·Reviewed Dec 29, 2017
Difficult to follow and explanations on crucial parts, like installing pip, was far too brief and simply did not work for my laptop.
R
Rob
1.0
·Reviewed Feb 27, 2021
It wasn´t made clear the course is in Chinese. I would need to spend several years learning Chinese before this. LOL!
A
Ariel
5.0
·Reviewed Jun 12, 2021
Very good course. It was a very new experience for me. learn data processing using Python almost from scratch. It is advisable to have previous knowledge of Data Mining, since that lack of knowledge slows you down a bit in the fourth week. I was surprised by how much the course covers and now I have to use what I learned to gain experience. I speak very little in English so I used several tools to listen to audio in Spanish. There are my annotations in the forum for future students. good luck. :)
P
PC
5.0
·Reviewed May 9, 2019
An excellent course covering many aspects applications using Python. It introduces many libraries in a way that raise your interest to want to find out more, which is an essential discipline to cultivate because libraries are always changing and new libraries come into being all the time. The lecturer do a great job to motivate her students.