本课程 (Please click https://www.coursera.org/learn/python-data-processing for English version) 主要面向非计算机专业学生,从Python基本语法开始,到Python中如何从本地和网络上进行数据获取,如何解析和表示数据,再到如何利用Python开源生态系统SciPy对数据进行基础和高级的统计分析及可视化,包括数据探索和预处理的具体方法,到最后如何设计一个简单的GUI界面来表示和处理数据,层层推进。
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用Python玩转数据 Data Processing Using Python
Nanjing UniversityAbout this Course
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Approx. 27 hours to complete
Chinese (Simplified)
Skills you will gain
- Data Analysis
- Python Programming
- Numpy
- Pandas
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Approx. 27 hours to complete
Chinese (Simplified)
Offered by
Syllabus - What you will learn from this course
24 minutes to complete
欢迎学习《用Python玩转数据》Welcome
24 minutes to complete
1 video (Total 4 min), 2 readings
8 hours to complete
Python基础Basics of Python
8 hours to complete
16 videos (Total 170 min), 4 readings, 3 quizzes
4 hours to complete
数据获取与表示Data Acquisition and Presentation
4 hours to complete
10 videos (Total 139 min), 5 readings, 1 quiz
3 hours to complete
强大的数据结构和Python扩展库Powerful Data Structures and Python Extension Libraries
3 hours to complete
9 videos (Total 109 min), 5 readings, 1 quiz
10 hours to complete
Python数据统计与挖掘Python Data Statistics and Mining
10 hours to complete
12 videos (Total 222 min), 12 readings, 3 quizzes
Reviews
- 5 stars73.21%
- 4 stars21.58%
- 3 stars3.70%
- 2 stars0.91%
- 1 star0.58%
TOP REVIEWS FROM 用PYTHON玩转数据 DATA PROCESSING USING PYTHON
by LLDec 17, 2015
老师五星好评,风趣接地气,课程内容入门也足够。推荐该课程
稍有不足的部分是 数据处理分析统计绘图部分,概念内容很多,现阶段课程看着有些吃力(完成课程需要经常上网搜索)
可能的话希望清晰结构,各个有所展开。
谢谢大壮老师
by HPMar 22, 2020
老师讲的很全面,对于初学者入门python语言足够了。不足是很多知识点像蜻蜓点水一样点到即止,没有展开细讲,看似十来分钟的视频听课的同时为了掌握这些语句的用法还需要一边搜索其他资料
by WDMay 28, 2017
It is a good course. Starting from the very basic part, the course is suitable for beginner. Those methods that are introduced in the course are all useful, without redundant part.
by PQFeb 22, 2017
This course is very great for me to learn how to use python to get data and analysis big data. Thanks for my great teacher Zhang Li.
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