College Credit: Programming in Python
Treehouse has partnered with University Pathways International (UPI) to bring you an exciting opportunity to learn the fundamentals of one of the most versatile programming languages in the world and earn 3 college credits along the way! This Programming in Python college credit course is perfect for beginners looking to start their coding journey and for experienced learners wanting to formalize their skills with college credit.
What You'll Learn
Through this college credit course, you’ll gain the foundational knowledge and skills necessary to create powerful, efficient programs. Here’s what you can expect to learn:
- The fundamentals of Python programming, including syntax, variables, loops, and functions.
- Core Python concepts such as data structures, error handling, and working with files.
- Techniques for solving problems programmatically, building scripts, and creating dynamic, efficient Python applications.
How to Earn College Credits
Follow these simple steps to start earning credits with the Programming in Python course:
- Choose a UPI college credit course to get started, then work through the lessons remotely, at your own pace — you determine your own level of time commitment.
- Take the final exam. Didn’t pass? Take the exam again at no charge.
- Once you pass the final exam, pay a $35 transcript fee directly to UPI to get access to a final project assignment.
- Once the assignment has been graded by UPI, receive a digital badge and transcript via Credly.
- From your Credly Dashboard, send your digital transcript to the schools of your choice.
Flexibility for Advanced Learners
If you already have experience with Python programming, you can skip directly to the final exam! Completing the lessons is not required, allowing you to fast-track your progress and focus on earning college credits.
Why Take This Course?
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Earn College Credit:
Gain 3 college credits that are transferable to many academic institutions.
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Master Python Fundamentals:
Learn the essentials of Python, a powerful programming language used in web development, data analysis, automation, and more.
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Affordable and Flexible:
Study at your own pace and pay only $35 for your transcript.
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Hands-On Learning:
Put your knowledge to the test with a final project that reinforces your skills.
Take the first step toward your coding and academic goals today. With Treehouse and UPI Study, learning Python and earning college credit has never been more convenient or rewarding!
Ready to start learning?
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1 minInstruction
The College Credit Program at Treehouse
Learn more about our College Credit Program!...(continue reading)
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(UPI) Chapter 1: Introduction to Programming
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This chapter introduces the fundamentals of programming, including the software development process, tools, and methods used to develop and test programs. Key topics include: Integrated Development Environments (IDEs) Version Control Input and Output Hello World Program: Presented in both pseudocode and flowchart format. Programming Language Introduction: Python is introduced with example code.
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(UPI) Chapter 2: Introduction to Python
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) Python is a versatile scripting language valued for its simplicity, modular design, and extensive library support, making it suitable for applications in data science, machine learning, and web development. Its clear syntax and line-by-line interpretation allow for efficient debugging and ease of use for programmers.
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(UPI) Chapter 3: Introduction to Basic Data Types and Operations in Python
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This chapter delves into the foundational concepts of Python programming, focusing on the essential building blocks such as numeric variables, strings, and the operations that can be performed on them. It introduces the concept of objects, which can be of various types, including integers, floats, and strings, and how these objects can be assigned to variables for manipulation in code. The chapter covers basic arithmetic operations, string manipulations, and the use of truthiness in evaluating expressions. Additionally, it discusses important aspects of Python programming, such as the dynamic typing of variables, indexing and slicing strings, and the use of escape sequences and f-strings for formatted output. Through examples and practical exercises, the chapter aims to build a strong foundation in these core Python concepts.
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(UPI) Chapter 4: Understanding Python Errors, Comments, and Code Quality
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course explores common Python errors, teaching how to interpret error messages and avoid mistakes like syntax and indentation issues. It also emphasizes the importance of writing clear comments and maintaining code quality to improve readability and collaboration.
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(UPI) Chapter 5: Assignment, Arithmetic, Relational, and Logical Operations
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This chapter delves into the fundamental concepts of operators and expressions in programming, focusing on the various types of operations that can be performed on data. It covers assignment operators, which allow for the storing and updating of values in variables, arithmetic operators that perform basic mathematical calculations, and relational operators that compare values to produce Boolean results. The chapter also explores the distinctions between assignment and equality in programming, logical operators that connect expressions to control program flow, and special operations like integer division, modulus, and unary operations. Each of these operators plays a crucial role in the logic and functionality of programming, enabling the manipulation and evaluation of data to produce desired outcomes.
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(UPI) Chapter 6: Decision-Making in Python
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course explores decision-making in Python through control structures like sequence, selection, and iteration, emphasizing their role in structured programming. It covers if-else statements, nested decisions, and conditional expressions, highlighting the importance of clarity and efficiency in program flow.
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(UPI) Chapter 7: Comprehensive Guide to Python Loops and Control Statements
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) Loops in Programming A loop is a code block that runs a set of statements while a given condition is true. Loops are often used for performing repetitive tasks. For example: The software on a phone repeatedly checks to see if the phone is idle. Once the time set by a user is reached, the phone is locked. Loops can also be used for iterating over lists, such as student names in a roster, and printing the names one at a time. In this chapter, two types of loops are introduced: For Loop While Loop This chapter also introduces the break and continue statements, which are used to control a loop's execution.
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(UPI) Chapter 8: Functions and Control Flow in Python
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course focuses on Python functions and control flow, explaining how functions promote modularity, reusability, and clarity in programming. It also explores variable scope, arguments, return values, and the interplay between functions to build efficient and maintainable code.
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(UPI) Chapter 9: Introduction to Python Data Structures: Lists, Tuples, and Dictionaries
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) An object is a single unit of data in a Python program. So far, this course has introduced three types of objects: strings, integers, and floats. This chapter introduces three types of containers: lists, tuples and dictionaries. A container is an object that can hold an arbitrary number of other objects. By the end of this chapter, you will be equipped to solve more complex problems using fewer variables.
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(UPI) Chapter 10: Mastering Python Modules
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course delves into Python modules, showcasing how they organize code for better reusability and scalability, with built-in modules like math and third-party options from PyPI. It also explains techniques to prevent side effects, resolve name collisions, and use the help() function for module documentation.
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(UPI) Chapter 11: Mastering List Operations, Iteration, and Comprehensions
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) Programmers often work on collections of data. Lists are a useful way of collecting data elements. Python lists are extremely flexible, and, unlike strings, a list's contents can be changed. Introduction to Lists The Objects chapter introduced lists. This chapter explores operations that can be performed on lists.
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(UPI) Chapter 12: Mastering Python Dictionaries
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course focuses on Python dictionaries, exploring their use as key-value pair data structures for efficient data storage, access, and modification. It covers advanced topics like looping through dictionaries, using conditionals, creating nested dictionaries, and applying dictionary comprehensions for concise and effective coding.
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(UPI) Chapter 13: Understanding Key Concepts in Object-Oriented Programming (OOP) and Their Implementation
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) A programmer can model real-world entities as objects for better program design and organization. A class defines a type of object with attributes and methods. Many instances of a class type can be created to represent multiple objects in a program. Classes promote reusability and add benefits like data abstraction and encapsulation, which help organize code for better usability and extensibility.
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(UPI) Chapter 14: Exploring Recursion
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course explores recursion in Python, showcasing its power to solve complex problems by breaking them down into smaller, manageable sub-problems. It covers key concepts such as base and recursive cases, and demonstrates applications in solving factorials, Fibonacci sequences, and the Three Towers problem.
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(UPI) Chapter 15: Understanding and Implementing Inheritance in Python: Concepts and Practices
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) Real-world entities are often described in relation to other entities. For example, a finch is a type of bird. Similarly, classes, which represent types of real-world entities, can be related to each other. Inheritance describes the relationship in which one class is a type of another class. Classes within inheritance relationships can inherit attributes and methods from other classes without needing to redefine everything. Thus, inheritance in object-oriented programming reduces redundancy and promotes modularity.
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(UPI) Chapter 16: Working with Files in Python
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course focuses on file handling in Python, detailing how to read from, write to, and manipulate files effectively while managing exceptions to handle errors gracefully. It also introduces working with file paths, CSV files, and advanced file operations to streamline data processing tasks.
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(UPI) Chapter 17: Key Concepts in Data Analysis: Indexing, Slicing, Missing Data, and Visualization
This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) Data Science provides the ability to derive insights and make informed decisions from data. It plays a crucial role in various disciplines, including: Healthcare Business Education Politics Environmental Science Social Sciences This chapter aims to provide an introduction to the field of data science and the data science life cycle. The resources provided in this chapter are meant to guide readers using Python to further explore data science.
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120 minInstruction
Final Exam - Programming in Python College Credit Course
100 Multiple Choice Exam for Programming in Python ...(continue reading)
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🎉 Congratulations on Completing the Final Exam!
Congratulations and next steps....(continue reading)
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Track Completion
This course includes:
- The College Credit Program at Treehouse 1 min
- (UPI) Chapter 1: Introduction to Programming 88 min
- (UPI) Chapter 2: Introduction to Python 18 min
- (UPI) Chapter 3: Introduction to Basic Data Types and Operations in Python 89 min
- (UPI) Chapter 4: Understanding Python Errors, Comments, and Code Quality 25 min
- (UPI) Chapter 5: Assignment, Arithmetic, Relational, and Logical Operations 56 min
- (UPI) Chapter 6: Decision-Making in Python 35 min
- (UPI) Chapter 7: Comprehensive Guide to Python Loops and Control Statements 61 min
- (UPI) Chapter 8: Functions and Control Flow in Python 40 min
- (UPI) Chapter 9: Introduction to Python Data Structures: Lists, Tuples, and Dictionaries 30 min
- (UPI) Chapter 10: Mastering Python Modules 51 min
- (UPI) Chapter 11: Mastering List Operations, Iteration, and Comprehensions 59 min
- (UPI) Chapter 12: Mastering Python Dictionaries 33 min
- (UPI) Chapter 13: Understanding Key Concepts in Object-Oriented Programming (OOP) and Their Implementation 55 min
- (UPI) Chapter 14: Exploring Recursion 34 min
- (UPI) Chapter 15: Understanding and Implementing Inheritance in Python: Concepts and Practices 61 min
- (UPI) Chapter 16: Working with Files in Python 36 min
- (UPI) Chapter 17: Key Concepts in Data Analysis: Indexing, Slicing, Missing Data, and Visualization 80 min
- Final Exam - Programming in Python College Credit Course 120 min
- 🎉 Congratulations on Completing the Final Exam! 1 min