Python Object-Oriented Programming (OOP) for Beginners — PickAClass
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⏱ 3h 2m 📚 30 lessons

Python Object-Oriented Programming (OOP) for Beginners

Master the core principles of OOP in Python to write clean, reusable, and maintainable code using modern programming practices.

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About this course

Writing clean, organized, and scalable code is a critical skill for any developer, yet moving beyond basic scripts can feel intimidating. Object-Oriented Programming (OOP) provides the structured framework you need to build complex applications with confidence. This text-based course guides you from foundational programming concepts to designing robust Python applications. You will transition from writing simple procedural code to structuring programs using classes, objects, and modern Python standards. What you'll learn: 1. Understand core OOP concepts including classes, instances, attributes, and methods. 2. Implement the four pillars of OOP: inheritance, polymorphism, encapsulation, and abstraction. 3. Practice modern Python conventions using type hints and dataclasses for cleaner code structure. 4. Design reusable software components that are easy to maintain and scale. 5. Solve structured coding exercises designed to reinforce object-oriented design patterns. Starting with fundamental terminology and class definitions, the course progresses step-by-step through advanced relationships, encapsulation techniques, and modern Pythonic design patterns. You will read clear explanations and review practical code snippets at your own pace. This course is designed specifically for beginners who have a basic grasp of Python syntax and want to transition to professional software design. No prior OOP experience is required. Start reading today to elevate your programming skills and write elegant, production-ready Python code.

Course contents

6 modules · 30 lessons · 3h 2m

1 Foundations of OOP
Understand the shift from procedural scripts to object-oriented thinking. 5 lessons · 30 min
  1. Procedural vs. Object-Oriented
    Learn why we move from a sequence of steps to a system of interacting objects.    6 min
  2. Blueprints and Objects
    Define classes as blueprints and create your first instance objects.    6 min
  3. Storing Data with Attributes
    Use the __init__ method to assign state to your objects.    7 min
  4. Adding Behavior with Methods
    Write functions inside classes to allow objects to perform actions.    6 min
  5. Understanding 'self'
    Demystify the self parameter and how it connects methods to instance data.    5 min
2 Modern Pythonic OOP
Apply modern Python standards for cleaner and more readable code. 5 lessons · 29 min
  1. Type Hints in Classes
    Use type annotations to make your class attributes and method signatures explicit.    6 min
  2. Introduction to Dataclasses
    Simplify class definitions using the @dataclass decorator for data-heavy objects.    7 min
  3. Advanced Dataclass Features
    Learn about default values and field customization in dataclasses.    6 min
  4. Class vs. Instance Attributes
    Distinguish between data shared by all instances and data unique to one.    5 min
  5. Naming Conventions
    Follow PEP 8 standards for naming classes, methods, and internal variables.    5 min
3 Encapsulation and Abstraction
Protect data and hide complexity using Python's privacy tools. 5 lessons · 33 min
  1. Public and Private Members
    Use underscores to signal private attributes and protect internal state.    7 min
  2. Properties and Decorators
    Use the @property decorator to create managed attributes with getters and setters.    7 min
  3. The Concept of Abstraction
    Focus on 'what' an object does rather than 'how' it does it.    6 min
  4. Abstract Base Classes (ABC)
    Enforce a common interface for a group of classes using the abc module.    7 min
  5. Designing Clean Interfaces
    Create simple public methods that hide complex logic from the user.    6 min
4 Inheritance and Polymorphism
Build hierarchies and flexible code that works with different object types. 5 lessons · 30 min
  1. Class Inheritance
    Create child classes that inherit and extend the functionality of parent classes.    6 min
  2. Overriding and super()
    Modify inherited methods and use super() to leverage parent logic.    7 min
  3. Multiple Inheritance
    Understand how a class can inherit from multiple parents and the MRO.    5 min
  4. Polymorphism and Duck Typing
    Write code that can handle different types of objects as long as they share a method.    6 min
  5. Polymorphism in Practice
    Use common interfaces to process lists of diverse objects uniformly.    6 min
5 Advanced Relationships and Reusability
Design complex systems by combining objects effectively. 5 lessons · 32 min
  1. Composition: 'Has-a'
    Build complex objects by nesting other objects inside them.    7 min
  2. Aggregation vs. Composition
    Learn the difference between loose and tight ownership of nested objects.    6 min
  3. Building Reusable Components
    Design classes that can be easily dropped into different projects.    6 min
  4. Refactoring to OOP
    Take a procedural script and restructure it into a clean class system.    7 min
  5. Designing for Scalability
    Structure your classes to handle growing requirements without breaking.    6 min
6 Design Patterns and Production Code
Apply professional patterns and prepare code for production. 5 lessons · 28 min
  1. Intro to Design Patterns
    Understand standard solutions to common software design problems.    6 min
  2. The Singleton Pattern
    Ensure a class has only one instance throughout the application.    5 min
  3. The Factory Pattern
    Create objects without specifying the exact class of object that will be created.    6 min
  4. Production-Ready Standards
    Final polish: documentation, error handling, and modularity.    6 min
  5. Final Review Exercise
    A structured exercise to reinforce all learned OOP principles.    5 min
Final project

E-Commerce Backend Engine

Build a modular e-commerce system that manages products, shopping carts, and payments using all four pillars of OOP.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • ⚡ Short & focused
    3h 2m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

P
PickAClass
Skills profile · verifiable
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Python Object-Oriented Programming (OOP) for Beginners
Skills demonstrated
✓
Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
✓
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Python Object-Oriented Programming (OOP) for Beginners
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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