Python Basics: Retrieving Online Data
Learn to access and analyze online data using Python, from Wikipedia to Spotify APIs. Perfect for data collection.
Learn to access and analyze online data using Python, from Wikipedia to Spotify APIs. Perfect for data collection.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Python Basics for Online Research Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Access and analyze thousands of Wikipedia pages with Python
Manipulate text, numbers, and Boolean values effectively
Work with Python lists and data collections
Integrate with Spotify API for music data analysis
Handle programming errors and debugging
Develop automated data collection systems
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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Get a Completion Certificate
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There are 4 modules in this course
This comprehensive course teaches practical Python programming for online data retrieval and analysis. Students learn to work with different data types, handle errors, and manipulate collections while applying these skills to real-world examples. The curriculum includes hands-on projects accessing Wikipedia pages and integrating with the Spotify API. Through four modules, learners progress from basic data handling to advanced API interactions, gaining practical experience in automated data collection and analysis.
Your Chances of Becoming Famous Using Python
Module 1 · 2 Hours to complete
Representing Ideas in Python
Module 2 · 3 Hours to complete
Representing Collections in Python
Module 3 · 3 Hours to complete
Course Summary & Honors: Interactive Demo
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Leader in Computational Social Science and Communication at UC Davis
Dr. Seth Frey is a distinguished professor of Communication at the University of California, Davis, and a Senior Faculty member at the UC Davis Datalab. With a Ph.D. in Cognitive Science from Indiana University and a B.A. from UC Berkeley, he has a robust academic foundation that supports his research in computational social science and human decision-making within complex social systems. Previously, he worked as a behavioral economist at Disney Research, where he explored themes related to theme parks, team sports, and video games. His current research utilizes online communities as experimental laboratories to study self-governance and the dynamics of cooperation.In addition to his research endeavors, Dr. Frey contributes to Coursera's top-ranked specialization in Computational Social Science, offering courses such as "Python Basics: Automation and Bots" and "Python Basics: Interacting with the Internet." His work has been recognized in various prestigious publications and media outlets, including The New Yorker and TEDx. Dr. Frey's interdisciplinary approach combines elements of data science, behavioral analysis, and cognitive theory, making him a leading figure in understanding the complexities of social behavior in digital environments.
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Frequently asked questions
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