This course (The English copy of “Python” ) 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: …
Instructor Details
Courses : 1
Specification: Data Processing Using Python
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26 reviews for Data Processing Using Python
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Price | Free |
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Provider | |
Duration | 27 hours |
Year | 2017 |
Level | Beginner |
Language | English |
Certificate | Yes |
Quizzes | No |
FREE
freyja g –
good, but not enough ..
Pedro H I –
There is no subtitles in English for the video lectures and the slides are in Chinese.
Chen L –
It does not cover the details in some aspects, but overall it is a quite helpful course for Python Beginner.
Komarov A –
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
Thomas B –
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
Marcial –
: /
Jason –
Much of the syntax is outdated in updated external libraries.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.
Mike C –
Good Course
Tommy L –
Very good. Keep it up
Rene W –
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.
Jianping L –
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.
Aaron M –
Difficult to follow and explanations on crucial parts, like installing pip, was far too brief and simply did not work for my laptop.
Sudhanshu C –
chineese language only!
Nikhil K S –
Nice course.
SOURAV M –
Very nice course. Could be extended to 12 weeks with more detailed coverage of packages. Please upload English audio tracks.
Zhilin Z –
Very good course. Learnt a lot about data processing using python. The teacher is intresting. I like her.
Ravikumar P –
English audio might be good to followup easily
praveen k s –
Please provide english audio it will be more helpful.
Sandeep R –
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.
Jingxiong L –
Really helpful and covers a lot of real stuff.
Jacory G –
It’s actually too simple for me, but I think it’s good for the beginners.
Sree H M –
Since the explanation is in chines language, it takes much time to complete the course
Justin J –
Good course
PC –
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.
SHAH A S –
Very helpful and useful course.
PATEL B J –
Good