Python Basics: Problem Solving with Code
Master Python fundamentals through practical projects, from analyzing web browsing data to creating graphics and debugging code.
Master Python fundamentals through practical projects, from analyzing web browsing data to creating graphics and debugging code.
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
Analyze web browsing patterns using Python code
Manage complex data with dictionaries and nested structures
Create custom functions for drawing and automation
Master debugging techniques and problem-solving strategies
Skills you'll gain
This course includes:
3 Hours PreRecorded video
4 quizzes, 3 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches advanced Python programming through hands-on projects and real-world applications. Students learn to work with complex data structures like dictionaries, create custom functions, and develop debugging skills. The curriculum includes practical projects such as analyzing web browsing data, processing social media content, and creating graphics with Python. Special emphasis is placed on problem-solving strategies and code optimization.
Examining Your Own Web Browsing Habits in Python
Module 1 · 2 Hours to complete
Representing Complex Ideas in Python
Module 2 · 3 Hours to complete
Making Pictures with Robots
Module 3 · 4 Hours to complete
A Strategy for Hunting Bugs
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Pioneering Computational Social Scientist at UC Davis
Dr. Seth Frey is a prominent Communication professor at the University of California, Davis, where he also serves as Senior Faculty at the UC Davis Datalab. With a background in behavioral economics from his time at Disney Research, Dr. Frey has a unique perspective on the dynamics of theme parks, team sports, and video games. His current research focuses on utilizing online communities as experimental laboratories for studying self-governance and collective behavior. As a contributor to Coursera's highly regarded specialization in Computational Social Science, he is dedicated to making complex social science concepts accessible to a broader audience. Dr. Frey earned his B.A. from UC Berkeley and his Ph.D. from Indiana University, combining rigorous academic training with practical insights from his diverse professional experiences. Through his innovative research and teaching, he continues to influence the fields of communication and social science, fostering a deeper understanding of how digital interactions shape societal structures.
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Frequently asked questions
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