Course Overview
Ready to learn Python from scratch and take your skills to an advanced level?
Python Course: Basics to Advanced 2026 is a hands-on, project-based course designed to help you build real-world Python programming skills that are in demand across data science, automation, software development, and more.
This course is perfect for beginners and those looking to sharpen their skills with Python in 2025. Through a structured path and 45+ real projects, you'll go from writing simple scripts to building scalable applications and automation tools.
What This Course Offers:
Beginner to Advanced Python Programming Start with core programming concepts like variables, data types, loops, and conditionals, and progress to advanced Python topics like OOP, decorators, generators, and context managers.
45 Days of Real Python Projects Complete 45 hands-on projects—one per day—that reinforce key skills. You'll build calculators, automation tools, games, data apps, and more using core and advanced Python features.
25+ Concept-Based Mini Projects Deepen your understanding with smaller, focused projects that help clarify specific concepts and real-world use cases.
Python for Data Science and Automation Analyze datasets using Pandas and NumPy, and create powerful visualizations with Matplotlib and Seaborn. Learn how to automate repetitive tasks using Python scripts.
Object-Oriented Programming & Modular Design Learn to write scalable code using classes, objects, inheritance, encapsulation, and polymorphism—key principles for modern Python development.
File Handling and Exception Management Read and write files, process data, and manage exceptions to build robust, production-ready programs.
Job-Ready Python Developer Skills Understand what employers expect from Python developers. Get tips on resume building, portfolio projects, and Python interview preparation.
Why Choose This Course?
Updated for 2026 with modern Python practices
Suitable for beginners and intermediate learners
Learn by building real Python projects
Career-oriented content with practical use cases
Taught in a clear, step-by-step format
Course Content Overview:
Python Programming Fundamentals
Control Flow and Loops
Data Structures and Collections
Functions, Modules, and Libraries
File Handling and Exception Management
Object-Oriented Programming (OOP)
Advanced Python Concepts
Data Science and Visualization
Real-World Projects
Automation with Python
Developer Tips & Career Prep
Key Features:
Lifetime Access
Certificate of Completion
Community Support
Expert Instructor Guidance
Enroll Today and Build Python Skills That Matter
Join thousands of learners who’ve successfully used this course to kickstart or advance their programming careers. Whether you’re learning Python for automation, app development, or data science—this course gives you the tools to turn ideas into working code.
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Course curriculum
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The Importance of Python in Modern Programming
445 Xem trước -
Overview of Python Programming Language
774 Xem trước -
Understanding Python as a Programming Language
442 Xem trước -
Python's Killer Features: Why It's Loved by Many
414 Xem trước -
Python’s Role in Artificial Intelligence
351 Xem trước -
Python vs The World: A Comparative Study of Programming Languages
468 Xem trước -
Setting Up Python: Your First Step into the Python Universe - Part 1
216 Xem trước -
Setting Up Python: Your First Step into the Python Universe - Part 2
246 -
Running Python Code: Your First Script
728 -
Providing Feedback for Course Improvement
43 -
Introduction to Python
-
Foundations of Python: Variables and Data Types
56 -
Using Python’s REPL for Interactive Coding
271 -
Hands-On with Python’s REPL Environment
340 -
Writing Your First Python Program
559 -
Understanding Values and Data Representation in Python
407 -
Variables in Python: Storing Data Effectively
211 -
Scope of Variables (Global, Enclosing, Local)
748 -
Hands-On: Variable Scopes in Python
616 -
Keywords and Identifiers in Python
432 -
Python's Data Types: An Introduction
820 -
Variables & Data Types: A Practical Approach
691 -
Assignment: Python Data Types
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Type Casting in Python: Changing Data Types Like a Pro - Part 1
375 -
Type Casting in Python: Changing Data Types Like a Pro - Part 2
222 -
Assignment: Type Casting in Python
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Exploring Python's Type Casting and Basic Data Types
0 -
Coding Exercise 1 Solution
306 -
Exploring Python's Basic Data Types and String Operations
0 -
Coding Exercise 2 Solution
253 -
Python Datahandling Coding Activity
277 -
Variables, Data Types & Python Basics
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Introduction to Python Operators
61 -
Advanced Python Operators
63 -
Arithmetic and Assignment Operators in Python: Making Python Do the Math
235 -
Assignment: Arithmetic and Assignment Operators
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More on Arithmetic & Assignment Operators in Python
486 -
Comparison and Logical Operators in Python
252 -
Making Decisions with Operators in Python
347 -
Bitwise, Identity, and Membership Operators in Python - Part 1
389 -
Bitwise, Identity, and Membership Operators in Python - Part 2
446 -
Operator Overloading, Precedence & Associativity in Python - Part 1
288 -
Operator Overloading, Precedence & Associativity in Python - Part 2
626 -
Assignment: Operator Overloading, Precedence, & Associativity
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Understanding Operator Precedence, Associativity, and Overloading in Python
0 -
Coding Exercise 3 Solution
534 -
Exploring Python's Operators: Arithmetic, Comparison, Logical, and Bitwise.
0 -
Coding Exercise 4 Solution
328 -
Operator Mastery Challenge Coding Activity
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Building Your First Machine Learning Model
-
Python Operators
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Overview: Controlling Program Flow with Python
74 -
Coding Activity: Implementing Control Flow in Python
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Conditional Statements: Python's Decision Makers
433 -
Hands-On with Python's Conditional Statements
453 -
Assignment: Conditional Statements
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Implementing Loops in Python for Repetition
501 -
Looping in Python: A Practical Approach Part 1
780 -
Looping in Python: A Practical Approach Part 2
210 -
Assignment: Looping in Python
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Python Conditional Statements
0 -
Coding Exercise 5 Solution
162 -
Exploring Python While Loop
0 -
Coding Exercise 6 Solution
226 -
Exploring Python For Loop
0 -
Coding Exercise 7 Solution
145 -
Supervised vs. Unsupervised Learning – Case Study Analysis
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Conditional Statements & Loops
-
Overview: The Blueprint of Python's Data Structures
55 -
Overview of Python’s Data Structures
520 -
Hands-On with Lists: Python's Flexible Data Containers Part 1
536 -
Hands-On with Lists: Python's Flexible Data Containers Part 2
266 -
From Lists to Data Structures: A Hands-On Approach
578 -
List Operations in Python: An Audio-Visual Guide Part 1
793 -
List Operations in Python: An Audio-Visual Guide Part 2
430 -
Understanding Stacks and Queues in Python
603 -
Hands-On: Implementing Stacks and Queues
667 -
Exploring Trees and Graphs in Python
397 -
Hands-On: Implementing Trees and Graphs
756 -
Assignment: List Operations in Python
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Dictionaries in Python: Key-Value Pairs at Your Fingertips
410 -
Assignment: Dictionaries in Python
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Tuples in Python: Immutable & Trustworthy
389 -
Assignment: Tuples in Python
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Sets in Python: Unique & Unordered
366 -
Assignment: Sets in Python
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Data Structures Coding Activity
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Understanding Python Lists
0 -
Coding Exercise 8 Solution
200 -
Understanding Tuples in Python
0 -
Coding Exercise 9 Solution
209 -
Navigating Python’s Dictionaries
0 -
Coding Exercise 10 Solution
221 -
Python Data Structures
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Python Functions: A Brief Overview
81 -
Decoding Python Functions
368 -
Python Functions: A Look at Different Types
267 -
Structure of Python Functions
596 -
Implementing Recursive Functions in Python
363 -
Hands-On: Recursive Functions in Python
482 -
Assignment: Python Functions
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Diving into Anonymous Functions in Python
443 -
Exploring Map Functions in Python
464 -
Assignment: Map Function in Python
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The Power of Filter Functions in Python
480 -
Assignment: Filter Function in Python
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Hands-On: Practicing Function Implementation
830 -
Advanced Hands-On: Exploring Functions Further
352 -
Python Functions Coding Activity
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Crafting User-Defined Functions in Python
878 -
Using Built-In Modules in Python
718 -
HandsOn: Built-in Modules (math, os, random)
955 -
Implementing Lambda Functions in Python
249 -
Assignment: Lambda Function in Python
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Mastering Map and Filter Functions in Python
434 -
Assignment: Maps & Filters
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Python Functions Practice: Finding Addition, Multiplication and Even Number.
0 -
Coding Exercise 11 Solution
297 -
Python Functions Practice: Finding Maximum and Factorial
0 -
Coding Exercise 12 Solution
310 -
Python Functions
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Introduction to OOP Concepts in Python - Part 1
568 -
Advanced OOP Concepts in Python - Part 2
568 -
Creating Classes and Objects in Python
615 -
Hands-On: Classes and Objects in Python
901 -
Implementing Abstraction in Python
300 -
Hands-On: Abstraction in Python
517 -
Constructors and Destructors in Python
496 -
Hands-On: Constructors and Destructors in Python
776 -
Implementing Encapsulation in Python
322 -
Hands-On: Encapsulation in Python
349 -
Inheritance in Python
426 -
Hands-On: Inheritance in Python
1144 -
Polymorphism in Python
304 -
HandsOn: Polymorphism
776 -
Object-Oriented Programming (OOP)
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Getting Started with NumPy in Python
55 -
Activities: Exploring NumPy Array Operations
-
An Introduction to Python's Standard Libraries, Modules, and Packages
633 -
In-Depth Look at NumPy Libraries
256 -
Array Functions in NumPy
158 -
Performing Array Operations with NumPy
540 -
Hands-On with NumPy: Practical Applications
621 -
Hands-On: Advanced Array Operations in NumPy
621 -
Assignment: NumPy Arrays
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NumPy & Python Libraries
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Introduction to Data Visualization in Python with Matplotlib
136 -
Activity: Visualizing Data with Matplotlib
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Overview of Matplotlib for Python
220 -
Getting Started with Pyplot
356 -
Practical Data Visualization with Matplotlib - Part 1
610 -
Advanced Data Visualization with Matplotlib - Part 2
463 -
Creating Various Chart Types with Pyplot
653 -
Assignment: Visualizing Data with Matplotlib
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Matplotlib & Pyplot
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Introduction to Seaborn for Data Visualization
64 -
Activity: Visualizing Data with Seaborn
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Getting Hands-On with Seaborn: An Introductory Workshop
671 -
Creating Multiple Plots in Seaborn
725 -
Customizing Seaborn Plots
497 -
Creating Various Plot Types with Seaborn
1021 -
Assignment: Advanced Seaborn Visualization Assignment
-
Seaborn Library
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Exploring Data with Pandas in Python
103 -
Introduction to Data Manipulation Using Pandas
259 -
Pandas Series: Comprehensive Hands-On Guide - Part 1
621 -
Pandas Series: Advanced Techniques - Part 2
394 -
Assignment: Series in Pandas
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Understanding DataFrames in Pandas
652 -
Essential DataFrame Operations for Data Analysis
470 -
Data Analysis Techniques with Pandas
656 -
Activity: Exploring Data with Pandas
-
Techniques for Handling Missing Values in Data
658 -
Grouping and Aggregation in Pandas: An In-Depth Look
486 -
Assignment: Pandas DataFrames
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Pandas
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Python Project: BMI Calculator with Conditionals
277 -
Python Project: Russian Roulette Game Using Loops
317 -
Python Project: Matrix Operations with NumPy
566 -
Python Project: Countdown Using Recursion
179 -
Python Project: Tables with While and For Loops
207 -
Python Project: Grade Tracker with Dictionaries
701 -
Python Project: Password Generator with For Loops
509 -
Python Project: English Dictionary Using Dictionaries
474 -
Python Project: Rock Paper Scissors Game
471 -
Python Project: Triangle Type Identifier
445 -
Python Project: Calculator Application
266 -
Python Project: Guess the Number Game
388 -
Python Project Quiz
380 -
Python Project: Guess the Word - Problem Statement
179 -
Python Project: Guess the Word - Solution
512 -
Python Project: Emoji Understanding - Problem Statement
86 -
Python Project: Emoji Understanding - Solution
291 -
Python Project: Countdown Timer - Problem Statement
82 -
Python Project: Countdown Timer - Solution
342 -
Python Project: Guess the Number Game
298 -
Python Project: Guess the Game
383 -
Python Project: COVID Vaccine Tracker - Problem Statement
100 -
Python Project: COVID Vaccine Tracker - Solution
425 -
Python Project: Pyramid Pattern - Problem Statement
108 -
Python Project: Pyramid Pattern - Solution
386
Requirment
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No previous experience required
Outcomes
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Understand Python syntax, variables, and data types to build a strong programming foundation
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Use control flow, conditionals, and loops to manage the logic of your Python programs
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Work with core Python data structures like lists, dictionaries, sets, and tuples for efficient data handling
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Write reusable and modular code using functions, built-in modules, and Python libraries
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Perform file handling in Python and implement exception handling for robust applications
-
Apply object-oriented programming (OOP) concepts such as classes, inheritance, and polymorphism
-
Explore Python advanced concepts like decorators, generators, and context managers
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Analyze data using Pandas and NumPy, and create visualizations with Matplotlib and Seaborn
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Build real Python projects including calculators, data scrapers, and automation tools
-
Automate tasks using Python scripts to solve real-world problems efficiently
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Learn Python for data science, automation, development, and prepare for Python developer roles
Instructor
Programming Hub: 40 million+ global students
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