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Python Fundamentals for Beginners

Free Python Course with Certificate

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642.9K+ Learners
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Enroll in this free Python Fundamentals for Beginners course to enrich your knowledge of various concepts in Python. Learn to solve with programming paradigms for real-time problems in Jupyter Notebook online.

What you learn in Python Fundamentals for Beginners ?

Programming Concepts
Python Basics
Variables and Data types in Python
Operators and Strings in Python
Python Data Structures
Control Flow Statements and Functions

About this Free Certificate 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 free 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.


Ready to enhance your skills further? Next, explore our Postgraduate Program in Artificial Intelligence and Machine Learning.

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. 


Our course instructor

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Mr. Bharani Akella

Data Scientist

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2.9M+ Learners
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82 Courses
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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Python Fundamentals for Beginners

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4.0 Hours

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Frequently Asked Questions

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.

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.

How long does it take to learn python fundamentals?

The time it takes varies depending on the learner’s background and dedication. Generally, the fundamentals can be grasped within a few weeks of consistent study.

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.

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course, you will receive a certification or a completion certificate that you can add to your resume.

Will I have lifetime access to the free course?

Yes, once you enroll in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can login and learn whenever you want to, and you can refer to the attached study materials at any point after enrolling in the course. 


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. 


Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want to from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject. 


What are the steps to enroll in this course?

Enrolling in any of the Great Learning Academy’s courses is just a one-step process. Sign-up for the course for free with your Email ID if you are interested and start your learning journey.



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Python Fundamentals for Beginners

Python is a high-level, interpreted programming language that is known for its simplicity, versatility, and ease of use. It was created by Guido van Rossum in the late 1980s and has since become one of the most popular languages for a wide range of applications, including web development, data science, machine learning, and more. In this article, we will cover some of the key fundamentals of Python programming, including syntax, data types, control structures, functions, and modules.


Python syntax is designed to be simple and easy to read. Unlike many other programming languages, Python does not use semicolons or parentheses to separate statements or expressions. Instead, it uses whitespace to indicate the structure of the code. Python relies on indentation to indicate blocks of code, making it easy to read and understand.

Data Types:

Python supports a variety of data types, including integers, floats, strings, Booleans, lists, tuples, and dictionaries. Integers are whole numbers, floats are numbers with decimal points, strings are sequences of characters enclosed in quotes, Booleans are logical values that can be either True or False, lists are ordered collections of objects, tuples are similar to lists but are immutable, and dictionaries are unordered collections of key-value pairs.

Control Structures:

Control structures are used to control the flow of a program. Python supports several control structures, including if statements, for loops, and while loops. If statements are used to execute code if a certain condition is true. For loops are used to iterate over a sequence of values, while loops are used to execute code repeatedly as long as a certain condition is true.


Functions are reusable blocks of code that perform a specific task. In Python, functions are defined using the def keyword, followed by the function name, parentheses, and a colon. The body of the function is indented, and the function can accept arguments and return values. Functions are used to encapsulate code, making it easier to manage and maintain. They can also be used to modularize a program and break it into smaller, more manageable pieces.


Modules are collections of functions and variables that can be imported into a program to extend its functionality. Python has a large standard library of modules that provide a wide range of functionality, including math operations, file I/O, and network programming. Modules can be imported using the import keyword, and their functions and variables can be accessed using dot notation.

Python is a powerful and versatile language that is used by developers, data scientists, and machine learning experts around the world. Its simple syntax, wide range of data types, powerful control structures, reusable functions, and extensible modules make it an ideal choice for a wide range of applications. Whether you are a beginner or an experienced programmer, Python has something to offer.


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