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Voltar para Data Processing Using Python

Comentários e feedback de alunos de Data Processing Using Python da instituição Universidade de Nanquim

4.1
estrelas
282 classificações

Sobre o 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....

Melhores avaliações

SR

21 de out 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.

JL

11 de set de 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 — 75 de 97 Avaliações para o Data Processing Using Python

por pangxie0501

3 de mai de 2017

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25 de ago de 2022

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30 de jan de 2022

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16 de set de 2021

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27 de jul de 2020

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15 de fev de 2022

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1 de jul de 2017

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21 de abr de 2017

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17 de mai de 2020

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6 de jan de 2019

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5 de abr de 2020

por Ravikumar P

3 de set de 2018

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11 de abr de 2022

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por Glen M

28 de set de 2021

por Sree H M

25 de fev de 2019

por praveen k s

15 de set de 2018