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Learner Reviews & Feedback for Using Python to Access Web Data by University of Michigan

4.8
stars
43,904 ratings

About the Course

This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3....
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(256 Reviews)

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(217 Reviews)

Top reviews

SM

Jun 18, 2020

This course was really interesting and did a good job introducing complicated topics in usefully simplified form. It was a pleasure to listen to the instructor and I got everything I wanted out of it.

ML

Jun 16, 2017

Excellent course with in depth explanations. It is well structured. It learn to access Web Data from very basics to optimum level. It help me to understand details of using Python to Access Web Data.

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6276 - 6300 of 7,921 Reviews for Using Python to Access Web Data

By Артемов И С

Apr 9, 2019

Cool

By Prabakaran K

Apr 8, 2019

good

By Kotha.Venkatesh

Mar 20, 2019

good

By Annem P R

Mar 19, 2019

good

By Rahmandani H

Mar 14, 2019

good

By Huang G

Mar 4, 2019

good

By Rasyid F N

Feb 21, 2019

Nice

By Ololade E O

Feb 18, 2019

good

By Gerrit B

Dec 17, 2018

good

By Puppala N M

Nov 28, 2018

Good

By Anson V A

Nov 10, 2018

Good

By Pooja C

Sep 19, 2018

good

By Shaik S S

Sep 19, 2018

good

By Wu D

Sep 6, 2018

good

By Piljong K

Aug 5, 2018

cool

By Bhupathiraju k

Jul 20, 2018

good

By jaswanth y

Jun 14, 2018

good

By Pradip N

Mar 7, 2018

good

By Sooraj J P

Jan 1, 2018

good

By yiranchengdu

Oct 16, 2017

Good

By Kai Z

Aug 5, 2017

Good

By chow C

Jul 6, 2017

good

By Vicky M

May 20, 2017

nice

By CHANG W K

May 5, 2017

GOOD

By 许铭驱

May 1, 2017

好的课程