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.
About this Course
University of Michigan
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.
- 5 stars76.82%
- 4 stars17.70%
- 3 stars4.10%
- 2 stars0.69%
- 1 star0.66%
TOP REVIEWS FROM DATA COLLECTION AND PROCESSING WITH PYTHON
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.
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.
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.
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.
About the Python 3 Programming Specialization
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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