This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.
Este curso forma parte de Programa especializado: Python 3 Programming
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Programa especializado: Python 3 ProgrammingUniversidad de MíchiganAcerca de este Curso
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Fechas límite flexibles
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Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 5 en
Nivel intermedio
Aprox. 16 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
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Prueba Coursera para negociosFechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 5 en
Nivel intermedio
Aprox. 16 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
ofrecido por
Universidad de Míchigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Comienza a trabajar para obtener tu maestría
Este curso es parte del Master of Applied Data Science completamente en línea de Universidad de Míchigan.
Si te aceptan en el programa completo, tus cursos cuentan para tu título de grado.
Programa - Qué aprenderás en este curso
6 horas para completar
Nested Data and Nested Iteration
In week one the video lectures and activities from the Runestone textbook will cover more complex data structures. By the end of this week, you will have learned how to process json formatted data, traverse nested data using nested iteration, and extract values from nested data.
6 horas para completar
15 videos (Total 127 minutos), 10 lecturas, 3 cuestionarios
4 horas para completar
Map, Filter, and List Comprehensions
In week two you will be learning more advanced forms of accumulation. By the end of the week, you will have learned how to use the map and filter functions in combination with functions to transform or filter out data and store the resulting data in a new object. You will have also learned how to accumulate data using a list comprehension.
4 horas para completar
13 videos (Total 75 minutos), 5 lecturas, 3 cuestionarios
6 horas para completar
Internet APIs
In week three you will learn how to request data from the internet using Application Programming Interfaces (APIs). By the end of the week, you will have learned how to access data from a few APIs, cache data that you have requested, and also learned how to read and work with other APIs that were not touched on in the module.
6 horas para completar
21 videos (Total 118 minutos), 14 lecturas, 2 cuestionarios
Reseñas
- 5 stars76,84 %
- 4 stars17,68 %
- 3 stars4,10 %
- 2 stars0,69 %
- 1 star0,66 %
Principales reseñas sobre DATA COLLECTION AND PROCESSING WITH PYTHON
por VR26 de oct. de 2021
The final assignment which requires secondary sort on string in rever order is genius!
Took a lot of trial and error to get it right.
Really learned the power of lambda and sorting
por EW23 de abr. de 2020
Very good course until the final project. There are a lot of bugs that caused me and what seems like a lot of other students to have to spend a great deal of time on it. This time wasn't productive.
por CM9 de oct. de 2019
This was a really excellent course. The functional project at the end helped me understand how recommendation systems work and now I'm very excited to try to build a similar system for books I love.
por OH13 de feb. de 2020
Once more very useful lessons. Be careful on the final project though, it is more prone to errors (even ones you might not be responsible for) than anything else up to this point.
Acerca de Programa especializado: 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.
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