The virtual course "Data Processing using Python - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 29 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
This course (the English copy of "用Python玩转数据"
coursera.
org/learn/hipython/home/welcome>) is primarily for students who are not majoring in computer science.
It starts with basic Python syntax, how to acquire data in Python locally and from the network, how to present data, then how to perform basic and advanced statistical analysis and data visualization, and finally how to design a simple GUI for presenting and processing data, moving on level to level.
This course, as a whole, based on financial data and by establishing popular cases one after another, allows students to more vividly feel the simplicity, elegance, and robustness of Python.
In addition, it discusses Python's fast, convenient, and efficient data processing capabilities in humanities and social science fields such as literature, sociology, and journalism, and science and engineering fields such as mathematics and biology, in addition to business fields.
Similarly, it can also be flexibly applied in other fields.
The course has been updated.
The updates in the new version are: 1) the entire course has been moved from Python 2.
x to Python 3.
x 2) Added search and manual analysis of the web page.
Web API is also added.
3) Improve the content order and enrich the details of some content especially for some practice projects.
Note: Videos are in Chinese (Simplified) with English subtitles.
All other materials are in English.
x 2) Added manual web page fetching and parsing.
Web API is also added.
3) Improve the content order and enrich the details of some content especially for some practice projects.
Note: Videos are in Chinese (Simplified) with English subtitles.
All other materials are in English.
x 2) Added manual web page fetching and parsing.
Web API is also added.
3) Improve the content order and enrich the details of some content especially for some practice projects.
Note: Videos are in Chinese (Simplified) with English subtitles.
All other materials are in English.
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Nanjing University
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