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.
课程信息
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第 3 门课程（共 5 门）
中级
完成时间大约为16 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 5 门）
中级
完成时间大约为16 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
密歇根大学
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.
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此 课程 隶属于 密歇根大学 提供的 100% 在线 Master of Applied Data Science。
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授课大纲 - 您将从这门课程中学到什么
完成时间为 6 小时
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.
完成时间为 6 小时
15 个视频 （总计 127 分钟）, 10 个阅读材料, 3 个测验
完成时间为 4 小时
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.
完成时间为 4 小时
13 个视频 （总计 75 分钟）, 5 个阅读材料, 3 个测验
完成时间为 6 小时
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.
完成时间为 6 小时
21 个视频 （总计 118 分钟）, 14 个阅读材料, 2 个测验
审阅
- 5 stars76.82%
- 4 stars17.70%
- 3 stars4.10%
- 2 stars0.69%
- 1 star0.66%
来自DATA COLLECTION AND PROCESSING WITH PYTHON的热门评论
由 PD 提供Feb 4, 2021
Good course like the others in the specialization! I found the end of course project unnecessary difficult because there were some subtle errors from the assessment questions and grader.
由 RK 提供Sep 17, 2020
This course gives good introduction for working with basic built in data structure (list,dictionary and their nested structures ) and introductory knowledge to work with REST api's.
由 SK 提供Sep 21, 2020
The material for the course is well-designed having multiple practice questions to get hands-on. The instructor has explained each and every part of the course with an example.
由 SS 提供Jun 7, 2020
Excellent. I learned a lot of useful information. The videos are good, and the final project put it all together ad a challenging exercise. Worth the time spend, that is for sure.
关于 Python 3 Programming 专项课程
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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