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Free Python Core Programming Courses Online with Certificates - 2025

Master the basics with this free Python course for beginners. Learn core programming concepts such as control statements, data structures, like lists, tuples, and dictionaries, and object-oriented programming.

13 hours of learning

Data Structures

DOM Manipulation

OOP

For enquiries call:
18002102020
Programming with Python: Introduction for Beginners

Key Highlights Of This Python Programming for Beginners Course

What You Will Learn

Data structures in Python

Understand and manipulate Python’s built-in data structures, which are essential for organizing, storing, and processing data efficiently. This session focuses on using tuples, sets, lists, and dictionaries to build a strong foundation in data handling and logical programming.

  • Tuples
    Learn how to create and use tuples, which are immutable sequences ideal for storing fixed collections of items. Understand tuple indexing, slicing, unpacking, and where immutability becomes a performance or design advantage in real-world applications.
  • Sets
    Explore the set data type to handle unique values and perform operations like union, intersection, and difference. Sets are especially useful in scenarios requiring fast membership testing or deduplication of data elements.
  • Lists
    Master Python’s most versatile data structure—lists. Learn to create, update, iterate, and slice lists. Practice commonly used list methods such as append(), remove(), sort(), and understand when to use lists in real-time logic flows.
  • Dictionaries
    Work with dictionaries to store and retrieve structured data using key-value pairs. Learn how to loop through dictionaries, update values, and nest data. Understand use cases where quick lookups and labeled data structures are essential.

Control Structures and Functions

Dive into control flow logic and function design—two of the most crucial elements in programming. This session helps you automate decisions and repetitive tasks efficiently using conditional logic, loops, comprehensions, and reusable function blocks.

  • Decision Making
    Implement if, elif, and else statements to control the logical flow of your programs based on conditions. Practice nested conditions and boolean expressions to create intelligent, responsive code structures.
  • Iterations
    Automate repetitive tasks using for and while loops. Learn the mechanics of loop counters, loop control statements (break, continue), and apply iterations to real-world tasks like data filtering and aggregation.
  • Comprehensions
    Discover list, set, and dictionary comprehensions to write more concise and readable Python code. Understand how comprehensions improve performance and reduce redundancy in logic-heavy applications.
  • Functions in Python
    Define reusable blocks of logic using functions. Learn syntax, function parameters, return values, and the importance of scope. Practice writing clean modular code that enhances readability and maintainability.
  • Map, Filter, and Reduce
    Implement powerful functional programming techniques using map(), filter(), and reduce() to perform transformations, selections, and aggregations. These tools allow for elegant solutions in data processing and manipulation.

OOP in Python

Step into the world of object-oriented programming (OOP) where code is more modular, reusable, and organized. Learn how Python supports OOP principles such as classes, objects, inheritance, and method overriding to model real-world problems efficiently.

  • Class
    Learn to create classes, which act as blueprints for objects. Understand class syntax, attributes, and how classes help encapsulate data and behavior in a clean, reusable structure.
  • Objects
    Instantiate objects from user-defined classes and interact with them. Understand how objects hold data and offer customized behavior through method calls and attribute access.
  • Methods
    Define methods—functions that operate on object data. Learn about instance methods, constructors (__init__), and how methods enforce behavior across class instances.
  • Class Inheritance
    Reuse existing class logic through inheritance. Learn how child classes derive from parent classes, extend functionality, and create more efficient, hierarchical codebases.
  • Overriding
    Override parent class methods to modify behavior in child classes. This enables you to customize logic while maintaining base functionality—crucial in scalable OOP applications.

Python Programming Course Certification

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Receive a signed and verifiable e-certificate from upGrad upon successfully completing the course.

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Key Advantages of Enrolling in Our Free Python Programming Course

Start your tech career with this free Python beginner course. Learn essential coding skills, gain industry-relevant knowledge, and earn a free certificate—all at your own pace and zero cost. Perfect for students, career changers, and aspiring programmers ready to make their mark.

Key Benefits: 

✅ Build Job-Ready Skills from Scratch - Learn Python fundamentals step by step—covering data types, control flow (if-else, loops), functions, and core data structures like lists, dictionaries, and tuples. You’ll also explore object-oriented programming (OOP), a must-have skill in modern software development.

✅ Aligned with Real-World Job Roles - Gain practical knowledge relevant for in-demand roles such as data analyst, software developer, business intelligence executive, automation tester, and machine learning assistant.This course ensures your learning isn’t just academic—it’s industry-aligned.

✅ Free Certificate to Power Your Resume - Complete the course and earn a professional, shareable certificate at zero cost. Use this free course in Python programming to enhance your resume, strengthen your LinkedIn profile, and showcase proof of skills during interviews

✅ 100% Free and Self-Paced - No subscriptions. No hidden fees. Learn anytime, anywhere. This free online Python course for beginners fits effortlessly into your schedule, whether you're a student, professional, or freelancer.

✅ Ideal for Aspiring Programmers and Tech Enthusiasts - This free Python beginner course is ideal for anyone aiming to build a rewarding career in programming, data science, or software development. Whether you're a student, fresher, or career switcher, it offers a solid foundation in Python to help you break into the tech industry with confidence.

Who Should Enroll in This Online Python Programming Course?

This free Python course for beginners is designed to help you build a solid programming foundation. With real-world applications, hands-on learning, and zero-cost certification, it's the perfect beginner's course for students, professionals, and aspiring data experts.

This Course is ideal for: 

✅ Absolute Beginners - Perfect for individuals with zero coding experience. This Python for beginners course breaks down programming concepts step by step in an easy, beginner-friendly format.

✅ Students & Recent Graduates - Enhance your academic learning and career prospects by gaining practical programming skills that are highly valued in tech, analytics, and engineering roles.

✅ Working Professionals from Non-Tech Backgrounds - Switch to tech-based roles or add programming to your toolkit for data analysis, automation, or operations, without needing prior experience.

✅ Aspiring Data Scientists & Analysts -  Before diving into advanced libraries like NumPy and Pandas, this course helps you master Python fundamentals crucial for any data-focused role.

✅ Freelancers & Entrepreneurs - Use Python to automate workflows, analyze customer data, or prototype product ideas—making your processes faster, smarter, and scalable.

✅ Career Switchers -  If you’re exploring tech as your next move, this free online Python course for beginners offers a smooth, hands-on entry point with real-world relevance.

What Makes This Course Different From Other Courses?

Most beginner programming courses overwhelm learners with complex syntax and abstract theory. This free Python course for beginners takes a simplified, structured, and practical approach—ideal for anyone new to coding. Learn Python fundamentals, apply them to real-world tasks, and build confidence in programming.

How We Compare to Other Platforms:

Feature

This Course (upGrad)

Other Platforms

Course Fee

✅ 100% Free Python Course for Beginners

❌ Paid content or locked lessons

Lifetime Access

✅ Unlimited access to all modules, forever

❌ Access expires or requires ongoing payment

Certification

✅ Free certificate after course completion

❌ Certification often requires an upgrade

Comprehensive Learning

✅ Covers Python basics, data structures, OOP, and control flow

❌ Narrow focus or surface-level concepts

Beginner-Friendly Curriculum

✅ Designed for learners with zero coding background

❌ Assumes prior experience or technical knowledge

Real-World Relevance

✅ Practical coding tasks, automation examples, and OOP usage

❌ Theory-heavy and lacking hands-on application

Flexible Format

✅ Self-paced, learn anytime from any device

❌ Scheduled deadlines or fixed learning paths

Free vs. Paid Courses: What Sets Them Apart?

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Frequently Asked Questions

1. Is this Python course really free of cost?

Yes! This is a 100% free Python course for beginners. There are no charges for accessing content, no subscriptions, and the certification is also provided free of cost.

2. Can I learn Python at my own convenience?

Absolutely. This course is completely self-paced. You can start anytime, progress at your own speed, and revisit any topic as often as you like—perfect for students, working professionals, or anyone with a busy schedule.

3. Does the course include practical Python examples or just theory?

This course emphasizes hands-on learning. Each topic includes real-world examples, exercises, and coding tasks to help you apply what you learn through practice—not just theory.

4. What topics are covered in this free Python course for beginners?

You’ll cover the fundamentals of Python programming: installation, writing your first program, data types, control structures, data structures like lists and dictionaries, and Object-Oriented Programming (OOP) concepts like classes and inheritance.

5. Will I get a certificate after completing this course?

Yes! After completing all modules, you will receive a free digital certificate that you can showcase on your resume, LinkedIn profile, or portfolio to boost your credibility.

6. Is the free Python certificate valuable?

Yes, the certificate demonstrates your understanding of core Python programming concepts and is recognized by recruiters and employers looking for entry-level Python proficiency.

7. What is a Python program used for?

Python programs can be used for web development, automation, data analysis, machine learning, scripting, game development, and much more—making it a highly versatile language.

8. What are the 33 commonly used keywords in Python?

Python has 33 reserved words that have special meaning and cannot be used for naming variables. These are fundamental to writing valid Python code. Keywords in Python include: 

False, True, None, and, as, assert, async, await, def, del, elif, else, break, class, continue, except, finally, for, from, global, if, import, in, is, lambda, nonlocal, not, or, pass, raise, return, try, while, with, and yield.

9. How to code 1 to 100 in Python?

You can use a simple loop:

for i in range(1, 101):  

    print(i)  

This prints numbers from 1 to 100 using Python’s range() function.

10. What are Python data types?

Python supports several built-in data types like integers, floats, strings, lists, tuples, sets, and dictionaries. Each type defines the nature of the data and the operations that can be performed on it.


11. What are the 4 types of data in Python?

The four primary data types often introduced first are:

  1. int – for integers (e.g., 1, 100)

  2. float – for decimal numbers (e.g., 3.14)

  3. str – for text or strings (e.g., "Hello")

  4. bool – for Boolean values (True or False)

12. Do I need to install any software to take this course?

Yes, you'll need to install Python on your computer, which is completely free. The course guides you through the setup process step-by-step. You can also use online IDEs like Replit or Google Colab if you prefer not to install anything locally.

13. Is any prior coding knowledge required?

Not at all! This is a Python beginner free course designed for complete newcomers. All concepts are explained from scratch, with no assumptions about your technical background.

Ready to start learning and advance your skills?

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