Data Collection and Processing with Python
This course is part of Python 3 Programming.
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 3 Programming 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.
4.7
(3,939 ratings)
91,768 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
Powered by
What you'll learn
Master Python list comprehensions for data processing
Interact effectively with REST APIs and web services
Process complex nested data structures
Implement data caching and efficient requests
Navigate and utilize API documentation
Build practical data collection applications
Skills you'll gain
This course includes:
5.8 Hours PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course teaches advanced Python techniques for data collection and processing from web services. Students learn to work with complex nested data structures, use list comprehensions, and interact with REST APIs. The curriculum covers JSON processing, API documentation navigation, and data caching. Through practical projects, including building a Flickr tag recommender, participants develop real-world data processing skills.
Introduction
Module 1 · 2 Hours to complete
Nested Data and Nested Iteration
Module 2 · 5 Hours to complete
Map, Filter, and List Comprehensions
Module 3 · 6 Hours to complete
Internet APIs
Module 4 · 7 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Python 3 Programming
Instructor
Michael D. Cohen Collegiate Professor of Information, and Director of the Center for Social Media Responsibility at UMSI.
Paul Resnick is the Michael D. Cohen Collegiate Professor of Information and Associate Dean for Research and Innovation at the University of Michigan's School of Information. He is recognized as a pioneer in the fields of recommender systems and reputation systems, significantly contributing to the development of the GroupLens system, which received the 2010 ACM Software Systems Award. Resnick co-authored the book "Building Successful Online Communities: Evidence-Based Social Design." He holds a bachelor's degree in mathematics from the University of Michigan and a doctorate in computer science from the Massachusetts Institute of Technology. Additionally, he served as a part-time consultant for Facebook from May 2018 to May 2020.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.