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Computer Science 230: Programming in Python

3 transferable college credits

Accepted for credit at many colleges

Accredited for College Credit by ACE & NCCRS

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Programming in Python

UPI Study offers 70+ affordable online college courses Business, Computer Science, Natural Sciences, Psychology, English, Math & More. Earn transferable college credit through UPI Study for elective or primary requirements.

 

Over 48750 students have already transferred credits to over 1750 universities till 2026 via ACE & NCCRS Credit Accreditation.  

Earn college credit with Programming in Python—a self-paced online course covering Python fundamentals, data structures, functions, file handling, and practical scripting for real-world tasks. Complete short lessons, quizzes, and assignments on your schedule, then finish with a proctored final exam. Great for beginners and CS requirements, with transcript options for transfer credit.

Upon the successful completion of this course, students will be able to: apply foundational Python programming principles to real-world scenarios, demonstrating proficiency in manipulating data types and constructs for precise data manipulation; configure Python environments effectively, demonstrating proficiency in seamlessly handling input/output operations; demonstrating robust comprehension of computing with numbers, exhibiting proficiency in executing arithmetic operations and designing algorithms; employ essential data handling skills, including string manipulation, list management, dictionary usage, and file handling, to address diverse data manipulation tasks; explore advanced Python topics, such as object-oriented programming, graphical visualization, functions, and standard modules, applying them to solve complex programming challenges; implement decision structures and loop structures proficiently, ensuring effective programming logic and control flow in python code; and master algorithm design and data analysis techniques, including fundamental search algorithms, recursion, sorting techniques, and practical applications like the towers of Hanoi problem, to analyze and solve real-world problems effectively.

Learn more about Programming in Python

Learning Outcomes

Upon the successful completion of this course, students will be able to: apply foundational Python programming principles to real-world scenarios, demonstrating proficiency in manipulating data types and constructs for precise data manipulation; configure Python environments effectively, demonstrating proficiency in seamlessly handling input/output operations; demonstrating robust comprehension of computing with numbers, exhibiting proficiency in executing arithmetic operations and designing algorithms; employ essential data handling skills, including string manipulation, list management, dictionary usage, and file handling, to address diverse data manipulation tasks; explore advanced Python topics, such as object-oriented programming, graphical visualization, functions, and standard modules, applying them to solve complex programming challenges; implement decision structures and loop structures proficiently, ensuring effective programming logic and control flow in python code; and master algorithm design and data analysis techniques, including fundamental search algorithms, recursion, sorting techniques, and practical applications like the towers of Hanoi problem, to analyze and solve real-world problems effectively.

Major Course Topics

Major topics include Introduction to Python Programming; Computing with Numbers; Using Strings, Lists and Files in Python; Objects and Graphics in Python; Using Functions in Python; Decision Structures in Python; Loop Structures in Python; Object Oriented Programming; Data Collections in Python; Algorithm Design and Data Analysis.

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