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
Approx. 16 hours to complete
Approx. 16 hours to complete
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.
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TOP REVIEWS FROM DATA COLLECTION AND PROCESSING WITH PYTHON
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.
Excellent course which teaches how to process request, extract and process Internet data in a simple and step by step approach. I have gained invaluable skills how to handle large data with Python
Excellent understunding of programming. Advanced concepts such list comprenhension, map and zip make me review my way of thinking, producing better and shorten coding.\n\nThxs to the Instructors.
Awesome content and guidance with top of the line applications for application of knowledge acquired throughout the course. It covers the basics and then implements higher order topics over them.
This course provides a good intro to working with data and internet apis in the json format using python. Definitely feel confident in digging deeper with APIs on my own after taking this class.
Excellent coursework and exercises to learn, especially for beginners -\n\nReally liked the presentation and constant support - seems like they know how people think while learning python :)
Another solid course in python programming specialization. After taking this course, you will be able to call data from API and manipulate nasty and unorganized set of dictionary and lists.
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.
About the Python 3 Programming Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
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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Is financial aid available?
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