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Using Python to Access Web Data

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. W...
4.8
4.8/5
(40,754 reviews)
508,223 students
Created by

9.3

CourseMarks Score®

N/A

Freshness

9.1

Feedback

9.0

Content

Platform: Coursera
Price: $0
Video: 5h 48m
Language: English

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Detailed Analysis

CourseMarks Score®

9.3 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.1 / 10
We analyzed factors such as the rating (4.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.0 / 10
Video Score: 8.4 / 10
The course includes 5h 48m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 8.6 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

11 articles.
0 resource.
0 exercise.
12 tests or quizzes.

Table of contents

Description

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.

You will learn

✓ Use regular expressions to extract data from strings
✓ Understand the protocols web browsers use to retrieve documents and web apps
✓ Retrieve data from websites and APIs using Python
✓ Work with XML (eXtensible Markup Language) data

Requirements

The course creator has not defined the requirements for this course.

This course is for

The course creator hasn’t defined the level of this course.

How much does the Using Python to Access Web Data course cost? Is it worth it?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.

Does the Using Python to Access Web Data course have a money back guarantee or refund policy?

Coursera offers a 7-day free trial for subscribers.

Are there any SCHOLARSHIPS for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who is the instructor? Is Charles Russell Severance a SCAM or a TRUSTED instructor?

Charles Russell Severance has created 45 courses that got 2,914 reviews which are generally positive. Charles Russell Severance has taught 2961882 students and received a 4.86 average review out of 2,914 reviews. Depending on the information available, Charles Russell Severance is a TRUSTED instructor.
School of Information
University of Michigan
Charles Severance (a.k.a. Dr. Chuck) is a Clinical Professor at the University of Michigan School of Information, where he teaches various technology-oriented courses including programming, database design, and Web development. Chuck has written a number of books including Using Google App Engine, and Python for Everybody. His research field is in the building of learning management systems such as Sakai, Moodle, Blackboard, ANGEL, and others. He was the chief architect for the Sakai Project, a learning management system used at about 300 schools worldwide and wrote the book Sakai: Free as in Freedom, that describes his experiences as one of the leaders of the project. In the mid-1990s he was the host of Internet:TCI, a national television talk show about the Internet that ran for several years on the TCI cable system. He was long-time a columnist for the IEEE Computer Magazine writing a monthly column called “Computing Conversations” that features video interviews with famous technology leaders and innovators.

9.3

CourseMarks Score®

N/A

Freshness

9.1

Feedback

9.0

Content

Platform: Coursera
Price: $0
Video: 5h 48m
Language: English

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