How Does Credit Transfer Work
Students at Slippery Rock University of Pennsylvania often use our Programming in Python course to complete general education or major requirements affordably while balancing others commitments.

Slippery Rock University of Pennsylvania
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Slippery Rock, PA
The Programming in Python course at Slippery Rock University of Pennsylvania is designed for students who want to gain practical skills while saving significantly on tuition. With NCCRS & ACE accreditation, this online course can transfer up to 3–4 credits directly to Slippery Rock University of Pennsylvania programs, helping students finish their degree faster and at a lower cost.
Slippery Rock University of Pennsylvania accepts courses recommended for college credit by ACE & NCCRS

Our courses are approved by the American Council on Education (ACE) — the same body that approves AP and IB — and are accepted for credit by thousands of universities, including Slippery Rock University of Pennsylvania.

Our courses are approved by the National College Credit Recommendation Service (Previously known as National Ponsi) — the NYSED.GOV body that approves AP and IB — and are accepted for credit by thousands of universities, including Slippery Rock University of Pennsylvania.
This course costs $250 through TransferCredit.org (UPI Study), compared to an estimated $900–$1,200 or more if taken directly at Slippery Rock University of Pennsylvania
FAQ
How many credits will I earn for Programming in Python at Slippery Rock University of Pennsylvania?
You will earn 3 transferable college credits, approved byACE & NCCRS, which can be applied toward your degree at Slippery Rock University of Pennsylvania or over 2,100 U.S. universities.
Is the course self-paced and online?
Yes, it’s 100% online and self-paced. You can start anytime and finish on your own schedule within hours or days and then transfer it back to Slippery Rock University of Pennsylvania for credit.
Will this course from UPI Study transfer to Slippery Rock University of Pennsylvania?
Yes, the Programming in Python course is ACE- and NCCRS‑approved and can be submitted to Slippery Rock University of Pennsylvania for credit toward general education or elective requirements.
How much does the course cost as compared to Slippery Rock University of Pennsylvania?
The course costs $250 total, which is 5X more affordable compared to the higher tuition fees charged on campus at Slippery Rock University of Pennsylvania or any community college near Slippery Rock, PA.
Course Details For Programming in Python
Learning Outcomes
Slippery Rock University of Pennsylvania in Slippery Rock, PA
In Programming in Python at Slippery Rock University of Pennsylvania in Slippery Rock, PA you can learn the same topics, transfer it and save tuition fees by a mile. This course, worth 3 transferable credits and approved by NCCRS & ACE, is designed to help students at Slippery Rock University of Pennsylvania gain practical skills and, preparing them for success in degree programs and real-world careers. 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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