Python Basics
Master Python programming fundamentals including conditional statements, loops, and data structures. Perfect for beginners starting their coding journey.
Master Python programming fundamentals including conditional statements, loops, and data structures. Perfect for beginners starting their coding journey.
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.
4.8
(17,546 ratings)
4,46,163 already enrolled
Instructors:
Steve Oney
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Write and execute basic Python programs
Understand and use data structures like strings and lists
Implement conditional statements and loops
Create interactive programs with user input
Develop debugging skills using reference diagrams
Write programs that create graphical output using Turtle
Skills you'll gain
This course includes:
7.6 Hours PreRecorded video
3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course introduces the fundamentals of Python 3 programming, covering essential concepts from basic syntax to data structures. Students learn through interactive lectures and hands-on programming exercises using the Turtle graphics library. The course focuses on building strong programming foundations through practical examples and systematic debugging techniques. Perfect for beginners, it emphasizes both theoretical understanding and practical application of Python programming concepts.
Introduction and The Basics of Programming in Python
Module 1 · 9 Hours to complete
Sequences and Iteration
Module 2 · 6 Hours to complete
Booleans and Conditionals
Module 3 · 4 Hours to complete
Sequence Mutation and Accumulation Patterns
Module 4 · 6 Hours to complete
Fee Structure
Instructors
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.
Steve Oney
4.8 rating
3,615 Reviews
5,12,808 Students
8 Courses
Innovator in Programming Tools and Usability
Steve Oney is an Assistant Professor at the University of Michigan School of Information, where his research focuses on creating tools that empower more individuals to write and customize computer programs. By addressing usability issues in programming environments, Oney aims to make programming more accessible. He completed his Ph.D. at Carnegie Mellon University's Human-Computer Interaction Institute, where he was advised by Brad Myers and Joel Brandt. Oney also holds undergraduate and master's degrees from MIT. His teaching includes courses on Python programming, including topics such as basics, classes and inheritance, and functions, files, and dictionaries.
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4.8 course rating
17,546 ratings
Frequently asked questions
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