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.
Data Processing Using Python
提供方
Data Processing Using Python
Nanjing University
教學大綱 - 您將從這門課程中學到什麼
週
1Welcome 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 個視頻（共 4 分鐘）, 2 個閱讀材料
1 個視頻
2 個閱讀材料
Teaching Methods10分鐘
FAQ10分鐘
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 個視頻（共 145 分鐘）, 3 個閱讀材料, 3 個測驗
15 個視頻
2 The First Python Program15分鐘
3 Basics of Python Syntax11分鐘
4 Data Types of Python9分鐘
5 Basic Operations of Python10分鐘
6 Functions, Modules and Packages of Python7分鐘
1 Conditions10分鐘
2 range5分鐘
3 Loops6分鐘
4 break, continue and else in Loops11分鐘
5 Self-defined Functions14分鐘
6 Recursion7分鐘
7 Scope of Variable4分鐘
A1: Standard Library Functions14分鐘
A2: Exceptions10分鐘
3 個閱讀材料
1.1 References10分鐘
1.1 Programming exercises(Not Graded)10分鐘
1.2 Control structure & function exercises(9 questions)10分鐘
2 個練習
Walk into Python quiz20分鐘
More About Python quiz24分鐘
週
2Data 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 個視頻（共 79 分鐘）, 5 個閱讀材料, 1 個測驗
6 個視頻
2 Network Data Retrieval21分鐘
1 Sequence8分鐘
2 String17分鐘
3 List9分鐘
4 Tuple7分鐘
5 個閱讀材料
2.1 References(re)10分鐘
2.1 Internet Data Retrival Programming exercise(Not Graded)10分鐘
2.1 code snippets for reference only10分鐘
Sequence fuctions practice10分鐘
Sequences and Files Programming Exercise(8 questions)10分鐘
1 個練習
Data Acquisition and Presentation quiz30分鐘
週
3Powerful 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 個視頻（共 70 分鐘）, 5 個閱讀材料, 1 個測驗
7 個視頻
2 Dictionary Use12分鐘
3 Set11分鐘
1 Extension Library SciPy6分鐘
2 ndarray12分鐘
3 Series7分鐘
4 DataFrame7分鐘
5 個閱讀材料
3.1 Programming exercise(Not Graded)10分鐘
3.1 Classic dict programming(2 questions)10分鐘
3.2 References10分鐘
3.2 Programming exercise for DataFrame(Not Graded)10分鐘
3.2 Modify the DataFrames10分鐘
1 個練習
Powerful Data Structures and Python Extension Libraries quiz28分鐘
週
4Python 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 個視頻（共 110 分鐘）, 12 個閱讀材料, 3 個測驗
14 個視頻
2 Data Preparations6分鐘
3 Data Display4分鐘
4 Data Selection8分鐘
5 Simple Statistics and Processing8分鐘
6 Grouping4分鐘
7 Merge8分鐘
1 Cluster12分鐘
2 Basics of Matplotlib Plotting7分鐘
3 Control of Matplotlib Image Attributes9分鐘
4 Plotting with pandas6分鐘
5 Data Access4分鐘
6 Applications of Python into Science and Engineering Fields7分鐘
7 Applications into Humanities and Social Sciences Fields7分鐘
12 個閱讀材料
4.1 References10分鐘
4.1.1 code snippets for reference only10分鐘
4.1.2 code snippets for reference only10分鐘
Web API - TuShare and Data Analysis ta30分鐘
4.2 code snippets for reference only10分鐘
4.2 Programming exercise for comparing the stock data(No Graded)10分鐘
4.2.1K-means algorithm10分鐘
4.2.1 Extension: Scikit-learn Machine Learning Basics10分鐘
4.2.4&4.2.5: Analyze test results using Box-plot10分鐘
4.2.6 Extension: Introduction to WAV audio processing10分鐘
4.2.6 Project- —Linear Regression for Boston houses price prediction10分鐘
4.2.7 Learn More about NLTK10分鐘
2 個練習
Basic Data Statistics of Python quiz16分鐘
Advanced Data Processing and Visualization of Python quiz20分鐘
4.4
熱門審閱
創建者 SR•Oct 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.
創建者 JL•Sep 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.
講師
ZHANG Li
associate professorDepartment of Computer Science
關於 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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