Chevron Left
Back to Data Collection and Processing with Python

Learner Reviews & Feedback for Data Collection and Processing with Python by University of Michigan

4.7
stars
3,981 ratings

About the Course

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. The course is well-suited for you if you have already taken the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two. This is the third of five courses in the Python 3 Programming Specialization....

Top reviews

MI

Jan 22, 2021

very good, very intuitive course material. however doing something in full python environment within the course would have been even better. thank you professors and all others from UMich and coursera

CM

Oct 10, 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.

Filter by:

476 - 500 of 698 Reviews for Data Collection and Processing with Python

By Aniruddh M

•

Oct 14, 2020

Great!

By ANISH K

•

Aug 5, 2020

v good

By ZIQI H

•

Apr 10, 2020

Great!

By Sabirov S S

•

Apr 26, 2024

good!

By MAHABUBUR R

•

Jul 28, 2022

Great

By O H

•

May 15, 2022

good

By Arturo J d l T

•

Oct 24, 2020

great

By Khue L H

•

Jul 28, 2020

great

By Kalyani

•

May 21, 2020

great

By Jackson S L A

•

Oct 10, 2019

Good!

By Volodymyr K

•

Jun 12, 2019

Great

By O'rmonova F

•

Jun 3, 2024

good

By Sarvinoz M

•

May 22, 2024

OLGA

By Qurbonboyev G S o

•

Apr 13, 2024

best

By Azizbek S

•

Mar 8, 2024

okey

By Asish S

•

Dec 5, 2023

good

By Anshita D

•

Dec 2, 2023

good

By AJINIYAZ D T

•

Jun 20, 2023

nice

By SATYARTH S

•

Nov 20, 2021

good

By Souptik S

•

Jul 6, 2021

nice

By Ankit K G

•

Oct 25, 2020

good

By KARTHIK M

•

Sep 21, 2020

good

By Souhardya G

•

Sep 11, 2020

Good

By Dr. S R

•

Aug 14, 2020

nice