Informações sobre o curso

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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 intermediário
Aprox. 16 horas para completar
Inglês
Legendas: Inglês, Coreano
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 intermediário
Aprox. 16 horas para completar
Inglês
Legendas: Inglês, Coreano

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Universidade de Michigan

Programa - O que você aprenderá com este curso

Classificação do conteúdoThumbs Up97%(3,088 classificações)Info
Semana
1

Semana 1

6 horas para concluir

Nested Data and Nested Iteration

6 horas para concluir
15 vídeos (Total 127 mín.), 9 leituras, 3 testes
15 videos
How to Use the Interactive Textbook14min
Introduction - Nested Data1min
Nested Lists17min
Nested Dictionaries6min
JSON Format and the JSON Module7min
Conclusion - Nested Data1min
Introduction - Nested Iteration1min
Nested Iteration19min
Structuring Nested Data6min
Shallow Copies7min
Deep Copies10min
Extracting from Nested Data13min
A Worked Example of Nested Iteration6min
Conclusion - Nested Iteration1min
9 leituras
Syllabus10min
Help Us Learn More About You!10min
Introduction: Nested Data and Nested Iteration10min
Nested Dictionaries10min
Processing JSON Results10min
Nested Iteration10min
Structuring Nested Data10min
Deep and Shallow Copies10min
Extracting from Nested Data10min
1 exercício prático
Optional - What Did You Use to Practice This Week?4min
Semana
2

Semana 2

4 horas para concluir

Map, Filter, and List Comprehensions

4 horas para concluir
13 vídeos (Total 75 mín.), 5 leituras, 3 testes
13 videos
Map11min
Filter8min
Conclusion - Map and Filter2min
Introduction - List Comprehensions1min
List Comprehensions9min
List Comprehensions Example 17min
List Comprehensions Example 29min
Conclusion - List Comprehensions1min
Introduction - Zip40s
Zip7min
The Hangman Blanked Function13min
Conclusion - Zip1min
5 leituras
Introduction: Map, Filter, List Comprehensions, and Zip10min
Map10min
Filter10min
List Comprehensions10min
Zip10min
1 exercício prático
Optional - What Did You Use to Practice This Week?4min
Semana
3

Semana 3

6 horas para concluir

Internet APIs

6 horas para concluir
21 vídeos (Total 118 mín.), 13 leituras, 2 testes
21 videos
URLs, Domain Names, and IP Addresses5min
Routing3min
HTTP: Behind the Scenes5min
URL Query Parameters3min
REST API URLs3min
The requests Module5min
Conclusion - REST APIs2min
Introduction - Using REST APIs1min
Generating URLs with requests.get5min
Reading API Documentation: Datamuse7min
Debugging Calls to requests.get5min
Caching Response Content8min
The requests_with_caching Module8min
Conclusion - Using REST APIs1min
Introduction - Practice with REST APIs49s
iTunes API7min
flickr API15min
Conclusion - Practice with REST APIs1min
Fun with the Google Places API19min
Introduction - Final Course Project2min
13 leituras
The Internet: Behind the Scenes10min
Anatomy of URLs10min
The HTTP Protocol10min
Using REST APIs10min
Fetching a Page10min
Generating URLs with requests.get10min
Figuring Out How to Use a REST API10min
Debugging Calls to requests.get10min
Caching Response Content10min
Searching for Media on iTunes10min
Searching for tags on Flickr10min
Unicode for Non-English Characters10min
Course Feedback10min

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Sobre Programa de cursos integrados Python 3 Programming

This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance. You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work. By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer. This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python. But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first....
Python 3 Programming

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  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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