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

4.4
estrellas
189 calificaciones
56 reseña

Acerca del Curso

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....

Principales reseñas

SR

Oct 22, 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.

JL

Sep 12, 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.

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51 - 52 de 52 revisiones para Data Processing Using Python

por Arshad U

May 06, 2020

The course should be in English.

por Juliana S

May 13, 2020

Not English