Python Basics: Automation and Bots
Master Python automation through practical projects: process Shakespeare's works, build an anagram finder, and create robocalls using the Twilio API.
Master Python automation through practical projects: process Shakespeare's works, build an anagram finder, and create robocalls using the Twilio API.
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
Learn to efficiently read and adapt code from the internet
Master Python code flow and logical programming
Build practical tools like anagram finders
Integrate with APIs for automated communications
Develop efficient automation scripts
Skills you'll gain
This course includes:
3 Hours PreRecorded video
3 quizzes, 4 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course teaches practical Python automation through hands-on projects. Students learn code flow concepts, logic implementation, and API integration. The curriculum covers essential programming concepts like loops, list comprehensions, and conditional statements while focusing on real-world applications. Through projects like processing Shakespeare's works and creating automated phone calls using Twilio, students gain practical experience in Python automation.
Reading all of Shakespeare in an Instant
Module 1 · 3 Hours to complete
The Flow of Your Python Code
Module 2 · 3 Hours to complete
Code Flow and Logic
Module 3 · 3 Hours to complete
Course Summary & Honors: Interactive Demo
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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