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.
oferecido por
Data Processing Using Python
Universidade de NanquimInformações sobre o curso
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Resultados de carreira do aprendiz
50%
comecei uma nova carreira após concluir estes cursos
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consegui um benefício significativo de carreira com este curso
50%
recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 29 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Vietnamita, Coreano, Alemão, Russo, Turco, Inglês, Espanhol
Habilidades que você terá
Python ProgrammingNumpyPandasWxpython
Resultados de carreira do aprendiz
50%
comecei uma nova carreira após concluir estes cursos
50%
consegui um benefício significativo de carreira com este curso
50%
recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 29 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Vietnamita, Coreano, Alemão, Russo, Turco, Inglês, Espanhol
oferecido por
Universidade de Nanquim
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.
Programa - O que você aprenderá com este curso
24 minutos para concluir
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.
24 minutos para concluir
1 vídeo (Total 4 mín.), 2 leituras
1 vídeos
Promotion Video3min
2 leituras
Teaching Methods10min
FAQ10min
8 horas para concluir
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!
8 horas para concluir
16 vídeos (Total 170 mín.), 5 leituras, 3 testes
16 videos
2 The First Python Program16min
3 Basics of Python Syntax15min
4 Data Types of Python9min
5 Basic Operations of Python10min
6 Functions, Modules and Packages of Python8min
1.1 Extension: Build a Python Environment4min
1 Conditions12min
2 range5min
3 Loops15min
4 break, continue and else in Loops11min
5 Self-defined Functions14min
6 Recursion11min
7 Scope of Variable4min
A1: Standard Library Functions14min
A2: Exceptions10min
5 leituras
1.1 Walk into Python slides10min
1.1 References10min
1.1 Programming exercises(Not Graded)10min
1.2 Multi-dimensional View of Python slides10min
1.2 Control structure & function exercises(9 questions)10min
2 exercícios práticos
Walk into Python quiz30min
More About Python quiz30min
4 horas para concluir
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.
4 horas para concluir
10 vídeos (Total 139 mín.), 5 leituras, 1 teste
10 videos
2 Network Data Retrieval20min
2.1 Extension: RE introduction16min
2.1 Extension: Dynamic web crawling example5min
1 Sequence8min
2 String17min
3 List14min
4 Tuple7min
2.2 Extension: IO&functional programming15min
2.2 Extension: Mutable objects modify issue9min
5 leituras
2 Data Retrieval and Represent slides10min
2.1 Internet Data Retrival Programming exercise(Not Graded, update on Oct 17, 2020))10min
2.1 code snippets for reference only10min
Sequence fuctions practice10min
Sequences and Files Programming Exercise(8 questions)10min
1 exercício prático
Data Acquisition and Presentation quiz30min
3 horas para concluir
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.
3 horas para concluir
9 vídeos (Total 109 mín.), 6 leituras, 1 teste
9 videos
2 Dictionary Use15min
3 Set11min
3.1 Extension: dict and set programming examples12min
1 Extension Library SciPy6min
2 ndarray18min
3 Series7min
4 DataFrame8min
3.2 Extension: Common numpy applications16min
6 leituras
Data Structure Selection10min
3 Powerful Data Structure and Software Ecosystem slides10min
3.1 Programming exercise(Not Graded)10min
3.1 Classic dict programming(1 question)10min
3.2 Programming exercise for DataFrame(Not Graded)10min
3.2 Modify the DataFrames10min
1 exercício prático
Powerful Data Structures and Python Extension Libraries quiz30min
10 horas para concluir
Python Data Statistics and Mining
Welcome to learn Module 04 “Python data statistics and mining”! 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 preprocess the data and 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.
10 horas para concluir
13 vídeos (Total 240 mín.), 13 leituras, 3 testes
13 videos
2 Fundamentals of Python Plotting23min
3 Data Clean of Data Exploration and Preprocessing20min
4 Data Transformation of Data Precessing22min
5 Data Reduction of Data Preproccessing18min
Copy of 1 Convenient and Fast Data Acquisition18min
1 Basic Data Characteristics Analysis of Data Exploration24min
2 Data Statistics and Analysis Based on pandas27min
3 Cluster Analysis14min
4 Aplications of Python into Science and Engineering Fields7min
5 Applications into Humanities and Social Sciences Fields7min
4.2 Extension: An Analysis of the Differences between Males and Females on Film Ratings17min
4.2 Extension: Classification of Red Wine Data Based on Random Forest Model21min
13 leituras
4.1 Data retrieval and preprocessing of Python Slides10min
4.1 References10min
4.1.1 code snippets for reference only10min
4.1.3: Analyze test results using Box-plot10min
Web API - TuShare and Data Analysis task30min
4.1 Titanic Data Set Acquisition10min
4.2 Data Statistics, Mining and Application Slides10min
4.2 code snippets for reference only10min
4.2.1 K-means algorithm an discussion on K value10min
4.2.1 Extension: Scikit-learn Machine Learning Basics10min
4.2.6 Project- —Linear Regression for Boston houses price prediction10min
4.2.6 Extension: Introduction to WAV audio processing10min
4.2.7 Learn More about NLTK10min
2 exercícios práticos
Data retrieval and preprocessing of Python quiz30min
Data Statistics, Mining and Application quiz20min
Avaliações
Principais avaliações do DATA PROCESSING USING PYTHON
por SR21 de Out de 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.
por JL11 de Set de 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.
por SM5 de Jun de 2018
Very nice course. Could be extended to 12 weeks with more detailed coverage of packages. Please upload English audio tracks.
por VK27 de Jun de 2020
Excellent input and created interest to work in Python for data processing . Thank You.
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