Nanjing University
用Python玩转数据 Data Processing Using Python
Nanjing University

用Python玩转数据 Data Processing Using Python

ZHANG Li

Instructor: ZHANG Li

102,900 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.7

(1,551 reviews)

27 hours to complete
3 weeks at 9 hours a week
Flexible schedule
Learn at your own pace
92%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(1,551 reviews)

27 hours to complete
3 weeks at 9 hours a week
Flexible schedule
Learn at your own pace
92%
Most learners liked this course

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in Chinese (Simplified)

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 6 modules in this course

欢迎你学习《用Python玩转数据》( (Please click https://www.coursera.org/learn/python-data-processing for English version))这门课程,本课程将尽量用非计算机专业的小伙伴们能听得懂的方式来讲述如何利用Python这种简单易学的程序设计语言方便快捷地获取数据、表示数据、分析数据和展示数据,基于科学计算与数据分析的SciPy库和与网络爬虫相关的Requests、Beautiful Soup库等,通过多个案例让大家轻松愉快地学会用Python玩转各领域数据。相信《用Python玩转数据》是一门可以让你不再害怕数据处理的计算机程序设计课,大壮老师期待你的加入!

What's included

1 video2 readings

小伙伴们,欢迎来到Module 01"Python基础"的学习! 先带大家领略一下Python简单易学和优雅健壮的特性,less is more,Python的设计者绝对深谙此道。本模块学完以后,大家可以掌握Python的基本语言结构、数据类型、基本运算、条件和循环、函数和模块等内容,用它们就可以写一些有用的程序了!

What's included

16 videos6 readings2 assignments1 programming assignment1 discussion prompt

欢迎进入“数据获取与表示”的学习!学完本模块,大家将会掌握Python在本地数据和网络数据获取的方式以及解析网络数据,会使用Python中基础但功能十分强大的数据结构序列、字符串、列表、元组快速有效地进行数据表示以及做简单的数据处理。

What's included

10 videos5 readings1 assignment1 discussion prompt

欢迎来到”强大的数据结构和Python扩展库”!现在有没有觉得自己离可以用Python玩转数据又进了一步,学完本模块,大家将会掌握Python中高级的数据结构字典和集合,在某些应用中使用它们会非常方便,特别的,大家还会领略到Python最著名使用最广泛的科学计算包SciPy中ndarray、Series和DataFrame这些简洁高效的数据结构的魅力。

What's included

9 videos6 readings1 assignment1 discussion prompt

欢迎小伙伴们来到"Python数据统计与挖掘"模块的学习!本模块将从数据处理的整个过程展现Python在数据处理和分析上独特的优势,将用很多耳熟能详喜闻乐见的案例让大家领略并掌握方法和特点,学完本模块,你可以从一堆数据中快速有效地挖掘出你想要的或者你期待的又或者是未知的结果,也可以将这些数据用各类图像来表示。另外,Python中各种第三方包的数据统计方式就如开了外挂一样强大到让你咋舌,但却是普通人也可以理解并拥有的。

What's included

12 videos13 readings2 assignments1 programming assignment

"面向对象和图形用户界面"欢迎你!本模块将会带大家去理解什么是面向对象,图形用户界面与面向对象的关系,这部分内容只要求理解概念,将来可以在用各种新函数时更自如更简单地上手,不要求写程序。另外图形用户界面的基本框架、常用的组建和布局管理也是大家需要掌握的部分,学完它们你会发现图形用户界面开发其实并非遥不可及。本模块有彩蛋哟~~~

What's included

8 videos3 readings2 assignments

Instructor

Instructor ratings
4.7 (68 ratings)
ZHANG Li
Nanjing University
2 Courses207,380 learners

Offered by

Recommended if you're interested in Software Development

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

4.7

1,551 reviews

  • 5 stars

    73.17%

  • 4 stars

    21.59%

  • 3 stars

    3.73%

  • 2 stars

    0.90%

  • 1 star

    0.58%

Showing 3 of 1551

LW
5

Reviewed on Jun 3, 2017

JW
4

Reviewed on Nov 8, 2018

BC
5

Reviewed on Jun 8, 2017

New to Software Development? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions