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Data Collection and Processing with Python

This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice ...
4.7
4.7/5
(3,227 reviews)
55,127 students
Created by

9.0

Classbaze Grade®

N/A

Freshness

8.8

Popularity

8.7

Material

Data Collection and Processing with Python
Platform: Coursera
Video: 5h 20m
Language: English

Best Software Development classes:

Classbaze Rating

Classbaze Grade®

9.0 / 10

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

Freshness

Course content can become outdated quite quickly.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.

Popularity

8.8 / 10
We analyzed factors such as the rating (4.7/5) 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.

Material

8.7 / 10
Video Score: 8.4 / 10
The course includes 5h 20m 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.
The average video length is 3 hours 54 minutes of 309 Software Development courses on Coursera.
Detail Score: 7.9 / 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:

28 articles.
0 resource.
0 exercise.
8 tests or quizzes.

In this page

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.

What can you learn from this course?

What you need to start the course?

Basic knowledge of Software Development is required to start this course, as this is an intermediate level course.

Who is this course is made for?

This course was made for intermediate-level students.

Are there coupons or discounts for Data Collection and Processing with Python ? What is the current price?

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.
The average price is $4.6 of 309 Software Development courses. So this course is 100% cheaper than the average Software Development course on Coursera.

Will I be refunded if I'm not satisfied with the Data Collection and Processing with Python course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid 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 will teach this course? Can I trust Paul Resnick?

Paul Resnick has created 6 courses that got 303 reviews which are generally positive. Paul Resnick has taught 294,538 students and received a 4.74 average review out of 303 reviews. Depending on the information available, we think that Paul Resnick is an instructor that you can trust.
School of Information
University of Michigan
Paul Resnick is the Michael D. Cohen Collegiate Professor of Information and Associate Dean for Research and Faculty Affairs at the University of Michigan School of Information. He previously worked as a researcher at AT&T Labs and AT&T Bell Labs, and as an Assistant Professor at the MIT Sloan School of Management. He received the master’s and Ph.D. degrees in Electrical Engineering and Computer Science from MIT, and a bachelor’s degree in mathematics from the University of Michigan. Professor Resnick’s research focuses on SocioTechnical Capital, productive social relations that are enabled by the ongoing use of information and communication technology. His current projects include nudging people toward politically balanced news consumption and health behavior change, and crowdsourcing rumor tracking and fact-correction on the Internet. Resnick was a pioneer in the field of recommender systems (sometimes called collaborative filtering). Recommender systems guide people to interesting materials based on recommendations from other people. The GroupLens system he helped develop was awarded the 2010 ACM Software Systems Award. His articles have appeared in Scientific American, Wired, Communications of the ACM, The American Economic Review, Management Science, and many other venues. His 2012 MIT Press book (co-authored with Robert Kraut), was titled “Building Successful Online Communities: Evidence-based Social Design.”

9.0

Classbaze Grade®

N/A

Freshness

8.8

Popularity

8.7

Material

Platform: Coursera
Video: 5h 20m
Language: English

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