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Free Python Programming Course
Python Fundamentals for Beginners
Establish a solid Python programming background using variables, loops, object-oriented programming, file handling, regex, and Pytest. Enroll in this free Python course to gain hands-on practice for real-world coding.
Instructor:
Mr. Bharani AkellaModules updated 07/2025
Python Fundamentals for Beginners
803.8K+ learners enrolled so far
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Skills you will gain
Core programming concepts in Python
Variables and Data Types
Operators and String Manipulation
Lists
Tuples
Dictionaries
Sets
Control Flow Statements (loops
conditionals)
Writing and using functions
+5 More
Key Highlights

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About this course
This interactive online course is your gateway to the exciting world of Python programming. Whether you're a complete beginner or have dabbled in coding before, our step-by-step curriculum will equip you with the essential skills to:
- Master Python basics: Dive into the core concepts of Python, including variables, data types, libraries, operators, and strings.
Structure your data: Conquer essential data structures like lists, dictionaries, and tuples to organize and manipulate information effectively.
Control the flow: Craft logical programs using control flow statements (if/else, loops) and build dynamic applications.
Write reusable code: Leverage functions to write modular and efficient code, saving time and effort.
Earn a valuable certificate: Track your progress and showcase your newfound skills with a certificate upon completion.
You'll also get hands-on experience through:
Interactive coding exercises: Practice what you learn in real-time, solidifying your understanding.
Engaging quizzes: Test your knowledge and identify areas for improvement.
Clear and concise explanations: Learn from experienced instructors who break down complex concepts into manageable steps.
Course outline
Importance and Applications of Programming Languages
This section discusses how programming can benefit in performing various tasks and points out to its various industry-related applications.
Variables in Programming
This section defines and explains various variables used in any programming language.
Decision Making Statements
This section discusses the relevance where conditions are involved to choose between “if” or “else” situations with real-time examples.
Looping Statements
This section discusses how a machine performs repeating tasks until the condition is satisfied with the real-time example.
Functions in Programming
This section explains how a machine understands functions by pointing out real-time examples.
Object Oriented Programming Concepts
This section relates how objects in real life that are associated with properties and behavior that define a class as a template in programming.
Algorithmic Approach to Solve a Problem
This section gives you an overview of - What the Algorithmic Approach is and demonstrates an application of this approach in programming.
Intro to Python
You will learn how to install Python and Pycharm IDE to get started with this programming language in this module. Next, you will get to know the installation steps of Anaconda Software. Lastly, you will learn to code your first program in Jupyter Notebook.
Intro to Jupyter Notebook
This section introduces you to a Python interpreter, Jupyter Notebook, and its basics.
Variables and Data-types in Python
This section will demonstrate how to declare variables using integer, floating point, string, and boolean data types and store them depending on the declared variable size.
Operators in Python
Python have three operator types: relational, arithmetic, and logical. The tutor will help you better understand these operators with the help of some examples in Python.
Tokens in Python
This section will brief you about four different tokens in Python, starting from keywords, and continuing with identifiers, literals, and operators with demonstrated code snippets.
Strings in Python
This module begins with an introduction to Python strings. You will learn to implement Python strings in 3 different ways in the Jupyter notebook. You will also be familiarized with some inbuilt string functions of Python.
Data Structures in Python
Data structures in Python include tuple, list, dictionary, set, conditional statement, and looping statement. This section shall enrich your knowledge on each of these with the code snippets in Jupyter Notebook.
If Statement in Python
This section explains why and when to use “if-else” statements and demonstrates how to use them with an example.
Looping Statements in Python
This section explains why and when to use “loop” statements and demonstrates how to use them with an example.
Functions in Python
This section shall define what functions are in Python and demonstrate how a block of code performs a targeted action with an ATM working example.
Intro to Object Oriented Programming in Python
This section shall begin by introducing you to OOPs, then continues by demonstrating how to create classes, adding parameters into the method, and constructors. You will then learn the concept of inheritance and understand its different types later in this section.
Creating the First Class in Python
This section explains why and when to create the first class in the program using Python and demonstrates its functionalities with code snippets.
Adding Parameters to a Class Method
This section explains why and when to add the parameters into the class in the program using Python and demonstrates its functionalities with code snippets.
Creating a Class with Constructor
This section explains why and when to create a class with a constructor in the program using Python and demonstrates its functionalities with code snippets.
Inheritance in Python
This section explains inheritance with real-time examples and discusses how it works on a program. It also demonstrates working with a program to implement inheritance.
Types of Inheritance
This section explains single inheritance, multiple inheritances, multi-level inheritance, and hybrid inheritance types and discusses when and how they are implemented in a program.
Get access to the complete curriculum once you enroll in the course
Stand out with an industry-recognized certificate

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Python Fundamentals for Beginners
4.55
3.75 Hours
Beginner
803.8K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes
What our learners enjoyed the most
Skill & tools
62% of learners found all the desired skills & tools
Our course instructor

Mr. Bharani Akella
Data Scientist
IT & Software Expert


Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What is python and why is it popular among beginners?
Python is a high-level, interpreted programming language known for its simplicity and readability, making it popular among beginners.
How do i start learning python as a beginner?
Begin by understanding basic concepts like variables, data types, and control structures.
What are the key features of python?
Python's key features include simplicity, readability, a wide range of libraries, object-oriented design, and strong community support.
Is the Python Fundamentals for Beginners course a certification course?
This Python Fundamentals for Beginners course provides a certificate of completion rather than a professional certification.
Can python be used for web development?
Yes, Python can be used for web development.
What types of projects can beginners build with python?
Beginners can start with simple projects like calculators, to-do list applications, basic games, or data visualization projects using Python libraries.
Is python suitable for data analysis and machine learning?
Absolutely. Python is widely used in data analysis, machine learning, and scientific computing due to its powerful libraries like Pandas, NumPy, and SciPy..
What are python libraries and which ones should beginners know?
Python libraries are collections of modules and functions that simplify various programming tasks. Beginners should be familiar with libraries like NumPy, Pandas, and Matplotlib.
How does python compare to other programming languages?
Python is often considered more user-friendly and easier to read compared to languages like Java or C++. Its syntax is simpler and it's versatile across different fields.
Is there a deadline to enroll in this free course, or can I join at any time?
You can enroll in this free course at any time. There are no specific enrollment deadlines, allowing you to start when it suits you.
Is there a specific schedule, or can I learn at my own pace for this free course?
You can learn at your own pace. There is no set schedule, allowing you to study when it's convenient for you.
Why is Python so popular?
Python is a user-friendly programming language. It makes building applications easier, reduces the time spent on developing more extended codes by providing in-built libraries, and makes it easier for non-coders to learn to program.
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