课程信息
4.4
100 个评分
35 个审阅
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为27 小时

建议:3-5 hours/week...
可选语言

英语(English)

字幕:英语(English)

您将获得的技能

Python ProgrammingNumpyPandasWxpython
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为27 小时

建议:3-5 hours/week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 24 分钟

Welcome to learn Data Processing Using Python!

Hi, guys, welcome to learn “Data Processing Using Python”(The English version of "用Python玩转数据", url is https://www.coursera.org/learn/hipython/home/welcome)!In this course, I tell in a manner that enables non-computer majors to understand how to utilize this simple and easy programming language – Python to rapidly acquire, express, analyze and present data based on SciPy, Requests, Beautiful Soup libraries etc. Many cases are provided to enable you to easily and happily learn how to use Python to process data in many fields. ...
Reading
1 个视频 (总计 4 分钟), 2 个阅读材料
Video1 个视频
Reading2 个阅读材料
Teaching Methods10分钟
FAQ10分钟
完成时间(小时)
完成时间为 7 小时

Basics of Python

Hi, guys, welcome to learn Module 01 “Basics of Python”! I’ll first guide you to have a glimpse of its simplicity for learning as well as elegance and robustness. Less is more: the author of Python must know this idea well. After learning this module, you can master the basic language structures, data types, basic operations, conditions, loops, functions and modules in Python. With them, we can write some useful programs! ...
Reading
15 个视频 (总计 145 分钟), 3 个阅读材料, 3 个测验
Video15 个视频
2 The First Python Program15分钟
3 Basics of Python Syntax11分钟
4 Data Types of Python9分钟
5 Basic Operations of Python10分钟
6 Functions, Modules and Packages of Python7分钟
1 Conditions10分钟
2 range5分钟
3 Loops6分钟
4 break, continue and else in Loops11分钟
5 Self-defined Functions14分钟
6 Recursion7分钟
7 Scope of Variable4分钟
A1: Standard Library Functions14分钟
A2: Exceptions10分钟
Reading3 个阅读材料
1.1 References10分钟
1.1 Programming exercises(Not Graded)10分钟
1.2 Control structure & function exercises(9 questions)10分钟
Quiz2 个练习
Walk into Python quiz20分钟
More About Python quiz24分钟
2
完成时间(小时)
完成时间为 3 小时

Data Acquisition and Presentation

Welcome to learn Module 02 “Data Acquisition and Presentation”! After learning this module, you can master the modes of acquiring local data and network data in Python and use the basic and yet very powerful data structure sequence, string, list and tuple in Python to fast and effectively present data and simply process data. ...
Reading
6 个视频 (总计 79 分钟), 5 个阅读材料, 1 个测验
Video6 个视频
2 Network Data Retrieval21分钟
1 Sequence8分钟
2 String17分钟
3 List9分钟
4 Tuple7分钟
Reading5 个阅读材料
2.1 References(re)10分钟
2.1 Internet Data Retrival Programming exercise(Not Graded)10分钟
2.1 code snippets for reference only10分钟
Sequence fuctions practice10分钟
Sequences and Files Programming Exercise(8 questions)10分钟
Quiz1 个练习
Data Acquisition and Presentation quiz30分钟
3
完成时间(小时)
完成时间为 3 小时

Powerful Data Structures and Python Extension Libraries

Welcome to learn Module 03 “Powerful Data Structures and Python Extension Libraries”! Have you felt you are closer to using Python to process data? After learning this module, you can master the intermediate-level and advanced uses of Python: data structure dictionaries and sets. In some applications, they can be very convenient. What’s special here is that, you can also feel the charm of such concise and efficient data structures: ndarray, Series and DataFrame in the most famous and widely applied scientific computing package SciPy in Python. ...
Reading
7 个视频 (总计 70 分钟), 5 个阅读材料, 1 个测验
Video7 个视频
2 Dictionary Use12分钟
3 Set11分钟
1 Extension Library SciPy6分钟
2 ndarray12分钟
3 Series7分钟
4 DataFrame7分钟
Reading5 个阅读材料
3.1 Programming exercise(Not Graded)10分钟
3.1 Classic dict programming(2 questions)10分钟
3.2 References10分钟
3.2 Programming exercise for DataFrame(Not Graded)10分钟
3.2 Modify the DataFrames10分钟
Quiz1 个练习
Powerful Data Structures and Python Extension Libraries quiz28分钟
4
完成时间(小时)
完成时间为 8 小时

Python Data Statistics and Visualization

Welcome to learn Module 04 “Python Data Statistics and Visualization”! In this module, I will show you, over the entire process of data processing, the unique advantages of Python in data processing and analysis, and use many cases familiar to and loved by us to learn about and master methods and characteristics. After learning this module, you can fast and effectively mine your desired or expected or unknown results from a large amount of data, and can also present those data in various images. In addition, the data statistics modes of all third party packages in Python are extraordinarily and surprisingly strong, but we, as average persons, can still understand and possess them. ...
Reading
14 个视频 (总计 110 分钟), 12 个阅读材料, 3 个测验
Video14 个视频
2 Data Preparations6分钟
3 Data Display4分钟
4 Data Selection8分钟
5 Simple Statistics and Processing8分钟
6 Grouping4分钟
7 Merge8分钟
1 Cluster12分钟
2 Basics of Matplotlib Plotting7分钟
3 Control of Matplotlib Image Attributes9分钟
4 Plotting with pandas6分钟
5 Data Access4分钟
6 Applications of Python into Science and Engineering Fields7分钟
7 Applications into Humanities and Social Sciences Fields7分钟
Reading12 个阅读材料
4.1 References10分钟
4.1.1 code snippets for reference only10分钟
4.1.2 code snippets for reference only10分钟
Web API - TuShare and Data Analysis ta30分钟
4.2 code snippets for reference only10分钟
4.2 Programming exercise for comparing the stock data(No Graded)10分钟
4.2.1K-means algorithm10分钟
4.2.1 Extension: Scikit-learn Machine Learning Basics10分钟
4.2.4&4.2.5: Analyze test results using Box-plot10分钟
4.2.6 Extension: Introduction to WAV audio processing10分钟
4.2.6 Project- —Linear Regression for Boston houses price prediction10分钟
4.2.7 Learn More about NLTK10分钟
Quiz2 个练习
Basic Data Statistics of Python quiz16分钟
Advanced Data Processing and Visualization of Python quiz20分钟
4.4
35 个审阅Chevron Right

热门审阅

创建者 SROct 22nd 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.

创建者 JLSep 12th 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.

讲师

Avatar

ZHANG Li

associate professor
Department of Computer Science

关于 Nanjing University

Nanjing University (NJU) is committed to excellence in teaching and research. Located on the prosperous eastern coast of China, NJU provides a dynamic environment that nurtures learning, creativity, and discovery on one of the most beautiful campuses in the country. Taking NJU's university offerings on Coursera will be a rewarding experience for learners from every corner of the world....

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