Об этом курсе: 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 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.

Автор: Нанкинский университет

Преподаватели: ZHANG Li, associate professor
Department of Computer Science

Уровень	Beginner
Выполнение	3-5 hours/week
Язык	English
Как пройти курс	Чтобы пройти курс, выполните все оцениваемые задания.
Оценки пользователей	4.3 звезды Средняя оценка пользователей: 4.3Посмотрите, что пишут учащиеся

Программа курса

НЕДЕЛЯ 1

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.

1 видео, 2 материалов для самостоятельного изучения

Видео: Promotion Video
Reading: Teaching Methods
Reading: FAQ

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!

15 видео, 3 материалов для самостоятельного изучения

Видео: 1 Introduction to Python
Видео: 2 The First Python Program
Видео: 3 Basics of Python Syntax
Видео: 4 Data Types of Python
Видео: 5 Basic Operations of Python
Видео: 6 Functions, Modules and Packages of Python
Reading: 1.1 References
Reading: 1.1 Programming exercises(Not Graded)
Видео: 1 Conditions
Видео: 2 range
Видео: 3 Loops
Видео: 4 break, continue and else in Loops
Видео: 5 Self-defined Functions
Видео: 6 Recursion
Видео: 7 Scope of Variable
Reading: 1.2 Coding and programs reading(Not Graded)
Видео: A1: Standard Library Functions
Видео: A2: Exceptions
Discussion Prompt: the characteristic of recursive algorithm

Оцениваемый: Walk into Python quiz

Оцениваемый: More About Python quiz

Оцениваемый: find out the 6-th Monisen number(3 points)

НЕДЕЛЯ 2

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.

6 видео, 5 материалов для самостоятельного изучения

Видео: 1 Local Data Acquisition
Видео: 2 Network Data Retrieval
Reading: 2.1 References(re)
Reading: 2.1 Internet Data Retrival Programming exercise(Not Graded)
Reading: 2.1 code snippets for reference only
Видео: 1 Sequence
Видео: 2 String
Видео: 3 List
Видео: 4 Tuple
Reading: Sequence fuctions practice
Discussion Prompt: KO Math Whiz
Reading: Sequences and Files Programming Exercise(No Graded)

Оцениваемый: Data Acquisition and Presentation quiz

НЕДЕЛЯ 3

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.

7 видео, 5 материалов для самостоятельного изучения

Видео: 1 Why Are Dictionaries Needed
Видео: 2 Dictionary Use
Видео: 3 Set
Reading: 3.1 Programming exercise(Not Graded)
Видео: 1 Extension Library SciPy
Видео: 2 ndarray
Видео: 3 Series
Видео: 4 DataFrame
Reading: 3.2 References
Discussion Prompt: ufunc functions
Reading: 3.2 Programming exercise for DataFrame(Not Graded)
Reading: 3.2 Modify the DataFrames
Reading: Word Frequency Counter

Оцениваемый: Powerful Data Structures and Python Extension Libraries quiz

НЕДЕЛЯ 4

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.

14 видео, 11 материалов для самостоятельного изучения

Видео: 1 Convenient and Fast Data Acquisition
Видео: 2 Data Preparations
Видео: 3 Data Display
Видео: 4 Data Selection
Видео: 5 Simple Statistics and Processing
Видео: 6 Grouping
Видео: 7 Merge
Reading: 4.1 References
Reading: 4.1.1 code snippets for reference only
Reading: 4.1.2 code snippets for reference only
Reading: Chinese Web API - TuShare
Видео: 1 Cluster
Видео: 2 Basics of Matplotlib Plotting
Видео: 3 Control of Matplotlib Image Attributes
Видео: 4 Plotting with pandas
Видео: 5 Data Access
Видео: 6 Applications of Python into Science and Engineering Fields
Видео: 7 Applications into Humanities and Social Sciences Fields
Reading: 4.2 Programming exercise for comparing the stock data(No Graded)
Reading: 4.2 code snippets for reference only
Reading: 4.2.1 Extension: Scikit-learn Machine Learning Basics
Reading: 4.2.4&4.2.5: Analyze test results using Box-plot
Reading: 4.2.6 Extension: Introduction to WAV audio processing
Reading: 4.2.7 Learn More about NLTK
Reading: 4.2.1K-means algorithm

Оцениваемый: Basic Data Statistics of Python quiz

Оцениваемый: Advanced Data Processing and Visualization of Python quiz

Оцениваемый: Movies review programming exerciese(4 points)

НЕДЕЛЯ 5

Object Orientation and Graphical User Interface

Welcome to Module 05 “Object Orientation and Graphical User Interface”! In this module, I will guide you to understand what object orientation is and the relationship between graphical user interface and object orientation. Learners are only required to understand the concepts so that you can more freely and easily pick up various new functions in future. No program writing is required here. Besides, you also need to master the basic framework of GUI, common components and layout management. After learning them, you will find development with GUI is actually not remote. It has an Easter egg, too ~~~

8 видео, 2 материалов для самостоятельного изучения

Видео: 1 GUI and Object Orientation
Видео: 2 Abstraction
Видео: 3 Inheritance
Видео: 1 Basic Framework of GUI
Видео: 2 Common Components of GUI
Видео: 3 Layout Management
Видео: 4 Other GUI Libraries
Видео: 5 Comprehensive Applications
Reading: 5.2 Comprehensive practice project
Reading: 5 code snippets for reference only

Оцениваемый: Object Orientation and Graphical User Interface quiz

Оцениваемый: Examination

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Как это работает

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Авторы

Нанкинский университет

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.

Рейтинги и отзывы

Оценка 4.3 из 5 по 72 отзывам

Nice course.

讲的很好，入门课程，重要的是老师很可爱，哈哈哈哈。

The course is very interesting and good, but very short and not detailed, especially 4-th week. There are a lot of real big data as a advantage of this course and bonus is learning GUI.