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Avis et commentaires pour d'étudiants pour Data Processing Using Python par Université de Nanjing

4.1
étoiles
301 évaluations

À propos du cours

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....

Meilleurs avis

SR

21 oct. 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 sept. 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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par Komarov A

19 févr. 2017

par Pedro H I

25 janv. 2017

par Sudhanshu C

3 mars 2018

par Siying L

23 janv. 2021

par Arshad U

6 mai 2020

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13 mai 2020

par Sourav M

6 juin 2018

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12 déc. 2020

par YE Q

27 nov. 2017

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1 mai 2017

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6 janv. 2021

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24 déc. 2020

par ABHAY R

28 sept. 2020

par Jianping L

11 sept. 2017

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22 oct. 2017

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29 déc. 2017

par Rob E

27 févr. 2021

par Ariel G

12 juin 2021

par PC

9 mai 2019

par Ronney N

18 juin 2020

par Almustafa M A B

25 oct. 2022

par Deleted A

5 août 2021

par Sandeep R

22 oct. 2018

par Jose C C J

20 mai 2020

par Marla C B B

6 nov. 2020