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Python Programming Course

Master Python programming

11.5 hrs 51 coding exercises 3 projects

Learn Python basics, data structures, loops, functions, OOP, RegEx, and exception handling. Enroll in this Python Programming online course to write clean and reliable code with hands-on coding skills and techniques.

Master Python programming

11.5 hrs 51 coding exercises 3 projects
Start 7-Day Free Trial Subscribe To Pro+ • $25/Month
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Get course + certificate with Pro+ subscription

Skills you will gain

Python Basics

Data Structures

Loops

Functions

OOP Concepts

Classes and Objects

Pattern Matching

Regular Expressions

Error Handling

Custom Exceptions

+5 More

About this course

In this Python Programming course, you’ll learn the skills to build real-world applications. You’ll master Python fundamentals such as variables, operators, data structures (lists, dictionaries), and control structures (loops, conditionals). You’ll gain the ability to design modular, reusable code using Object-Oriented Programming (OOP) with classes, inheritance, and polymorphism. The course also enables you to perform advanced text processing with Python's regular expression (RegEx) module and handle errors effectively with exception management.


By completing this Python course, you'll be able to build practical applications like a banking system or a virtual pet game, applying OOP, error handling, and data management. Hands-on projects will also help you build tools like a Wikipedia extractor, giving you the skills to work with web scraping, data extraction, and user interaction. These experiences will prepare you for Python development roles, enabling you to design and implement real-world applications.

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Course outline

Industry focussed curriculum designed by experts

Python Fundamentals

35 Videos

19 Coding Exercises

Variables, operators, data structures (lists, tuples, dictionaries), conditional statements, loops, and basic functions
play icon

35 videos

3 hours and 40 mins

  • Intro to Python
  • Installing Jupyter Notebook
  • Intro to Jupyter Notebook
  • Initialization and Declaration of Variable
  • Updating Variables and Strings
  • Good practices of naming variables
  • Int_Float and Complex
  • Operations on Strings
  • Boolean Data Type
  • Changing data types
  • Print Statement
  • User Input
  • Arithmetic Operators
  • Comparison Operators
  • Assignment Operators
  • Logical Operators
  • Introduction to lists
  • Indexing Lists
  • Accessing and Slicing Lists
  • List Methods
  • Intro to Tuples
  • Indexing Tuples
  • Accessing Tuples
  • Tuple Methods
  • Introduction to Dictionary
  • Accessing Items
  • Changing Values in Dictionary
  • Dictionary Methods
  • Introduction to Sets
  • Conditional Statements
  • Loops
  • Break and Continue statement
  • Define function without argument
  • Define function with argument
  • Define Function with Multiple Arguments and Keyword Arguments
  • Lambda Functions
play icon

19 Coding Exercises

  • Coding Exercise on Python - Beginner
  • Coding Exercise on Python - Advance
Preview module

Python OOPs

22 videos

19 Coding Exercises

Classes, objects, inheritance, polymorphism, and encapsulation for modular and reusable programs
play icon

22 videos

2 hours and 40 mins

  • Introduction to Object-Oriented Programming
  • Why OOPs and Evolution of Python
  • Class and Objects in Python
  • Self with General Example
  • Adding parameters using in-built Classmethod
  • Constructors in Python
  • Destructors in Python
  • Class with a constructor init
  • Classes and Interfaces
  • Calling method from another class - Example
  • Summary of Python OOPs - Part 1
  • Abstract Classes and Methods in Python
  • Variables in Python-Part 1
  • Variables in Python-Part 2
  • Changing Class Members in Python
  • Polymorphism in Python
  • Encapsulation in Python
  • Inheritance in Python
  • Data Abstraction in Python
  • Method Overriding in Python
  • Method Overloading in Python
  • Summary of Python OOPs-Part 2
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19 Coding Exercises

  • Coding Exercise on OOPs: Beginner
  • Coding Exercise on OOPs : Advance

Python RegEx

10 videos

Text processing using Python's RegEx module with practical examples of meta-characters and functions
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10 videos

1 hour and 33 mins

  • Introduction to RegEx and Module in Python
  • RegEx Functions in Python
  • RegEx Metacharacters - Part 1
  • RegEx Metacharacters - Part 2
  • Special Sequences in Python - Part 1
  • Special Sequences in Python - Part 2
  • RegEx Sets in Python - Part 1
  • RegEx Sets in Python - Part 2
  • RegEx Match Object in Python
  • Manual Pattern Creation

Python Exception Handling

12 videos

9 Coding Exercises

Try-except blocks, built-in and user-defined exceptions, and advanced error-handling strategies
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12 videos

2 hours

  • Exception Handling in Python - Agenda
  • What is Exception in Python
  • Handling Exception with Syntax in Python
  • Types of Exception Handling in Python - Part 1
  • Types of Exception Handling in Python - Part 2
  • Try Except in Python
  • Errors and Exceptions in Python
  • Built-in Exceptions in Python - Part 1
  • Built-in Exceptions in Python - Part 2
  • User-defined Exceptions in Python
  • Advantages and Disadvantages of Exception Handling in Python
  • Exception Handling in Python - Summary
play icon

9 Coding Exercises

  • Coding Exercise on Exception Handling: Beginner
  • Coding Exercise on Exception Handling: Advance

Guided Project 1 : Build a Virtual Banking Application

Project Certificate

Virtual Banking Application : Functional requirements and step-by-step guide
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Guided Project 2 : Build a Virtual Pet

Project Certificate

Virtual Pet : Functional requirements and step-by-step guide
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Guided Project 3 : Build a Wikipedia Extractor

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Wikipedia Extractor : Functional requirements and step-by-step guide
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Python Developer - Mock Interview

1 Mock Interview

Personalised Mock interviews to get hired for Python developer or SDE roles

Get access to the complete curriculum with your free trial

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Guided Projects

Solve real-world projects in this Python Programming course with step-by-step guides, starter code templates, and access to model solutions to boost your skills and build a standout resume.

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Earn a certificate for every project you complete.

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  • GUIDED PROJECT 1
  • Virtual Banking Application
  • This application will simulate a banking system where users can perform various financial activities, such as creating accounts, managing transactions, transferring funds, and reviewing their transaction history. Proper controls like payee management and detailed record-keeping are essential to ensure the application's functionality and security.
Object-oriented programming
Java fundamentals
Exception Handling
File I/O
User Authentication
Transaction Management
Data Structures
Security
Console UI design
Encryption
Account and Payee Management
  • GUIDED PROJECT 2
  • Build a Virtual Pet
  • As part of this project, you are tasked with creating a Virtual Pet Game as a Java console application. This game simulates caring for a virtual pet by performing actions such as feeding, playing, and visiting the vet while monitoring its health, happiness, and hunger levels. The game should operate in a loop and allow the user to interact with the pet indefinitely until they choose to exit.
Java Basics
Object-Oriented Programming
Game Loop Design
User Input Handling
Data Manipulation
Conditional Statements
File I/O for Saving Game State
Random Number Generation
Event Handling
  • GUIDED PROJECT 3
  • Build a Wikipedia Extractor - Python
  • As part of this project, you are tasked with creating a Wikipedia Article Information Extractor, a Java-based application designed to streamline the process of retrieving key details from Wikipedia articles. The application should take a Wikipedia article URL as input and extract specific information from the page. It should then format and display the extracted details to the user in a user-friendly manner.
Python Basics
Web Scraping
HTTP Requests
Parsing HTML
Regular Expressions
Data Extraction
Handling JSON/XML Data
User Input Handling
String Manipulation
Error Handling
User Interface Design

Gain skills & build your resume with complete access to guided projects in your free trial

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Course Instructors

instructor img
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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.
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Mr. Bharani Akella

Data Scientist

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.

Master Python programming

11.5 hrs 51 coding exercises 3 projects

Master Python programming

11.5 hrs 51 coding exercises 3 projects
Start 7-Day Free Trial Subscribe To Pro+ • $25/Month
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Get course + certificate with Pro+ subscription

Frequently Asked Questions

What is this Python Programming Training course?

This Master Python Programming course is a premium online course on the Great Learning Academy Pro+ for learners who want a solid foundation in Python. The course combines structured lessons, coding labs, guided projects, and a Python developer mock interview for real programming practice.

What topics does this Python Training online course cover?

The industry-based curriculum of this Python Language course covers Python fundamentals such as variables, operators, data structures, functions, and loops, then moves into object-oriented programming with classes, inheritance, polymorphism, and encapsulation, followed by RegEx for text processing and robust exception handling with built-in and custom exceptions.



What is the course duration, and what assistance do I get?

The course includes 11.5 hours of video content, 51 coding exercises, 3 guided projects, and a Python developer mock interview. You will also be given 24-hour AI assistance.



Is this course suitable for beginners, or do I need prior programming knowledge?

The course is designed for both beginners and intermediate learners. No prior coding experience is required, as it starts with the basics and progresses to advanced concepts.

Will beginners benefit from taking this Python Programming course?

Yes, beginners gain value because the course starts with an introduction to Python, Jupyter Notebook setup, and core concepts before moving to advanced topics such as OOP, RegEx, and exception handling, so self-taught learners and career switchers progress in a structured way.



What Python skills will I acquire through this Python Programming online course

The skills that you will acquire after enrolling in this Python Language course are: 

  • Python Basics
  • Data Structures
  • Loops
  • Functions
  • OOP Concepts
  • Classes and Objects
  • Pattern Matching
  • Regular Expressions
  • Error Handling
  • Custom Exceptions


Do I get a certificate after completing the online Python Programming course?

Yes, upon successful completion, you will receive an industry-recognized certification. This certificate can be shared on LinkedIn and added to your resume, helping you showcase your Python expertise to prospective employers. The course also focuses on in-demand skills such as data structures, algorithms, and real-world problem-solving, making you job-ready for roles in software development, data science, and automation.



How is this Pro Python Programming online course different from free Python language courses on Great Learning Academy?

This Pro course provides structured, in-depth personalized learning with hands-on guided projects, AI-powered tools, mock interviews, and an industry-recognized certification. It offers practical applications and advanced concepts that go beyond the basics covered in free courses, helping you build real-world expertise and confidently prepare for job opportunities.



What is the refund policy for Pro courses at Great Learning?

All fees paid for Great Learning Pro courses are non-refundable. Once a payment is made towards enrollment in a Great Learning Pro course, the amount will not be refunded, whether the user completes, partially completes, or does not access the course.

Gain work-ready skills with an Academy Pro+ subscription

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