This 12-week Complete Python Programming & Data Structures Course by Josna Fernandes is designed to help learners build a strong foundation in Python while steadily progressing toward advanced programming and problem-solving concepts. The course follows a structured, concept-driven approach, making it ideal for beginners as well as students who want to deeply understand Python, logic building, and Data Structures & Algorithms (DSA).

Rather than memorising syntax, students learn why programs work the way they do — developing clarity, coding discipline, and analytical thinking. From Python basics and Object-Oriented Programming to searching, sorting, trees, and complexity analysis — learners receive complete guidance to confidently solve real-world coding problems.

This program supports online learning, allowing flexibility while maintaining interactive, instructor-led teaching with doubt-clearing support.

🐍 Course Title

Complete Python Programming & Data Structures (12 Weeks) – From Basics to Advanced Concepts

🔹 Course Description

This 12-week Python course is designed to build a strong foundation in Python programming, while gradually introducing Data Structures, Algorithms, Object-Oriented Programming, and complexity analysis.

The course follows a step-by-step and concept-driven approach, ensuring learners understand how and why Python programs work, rather than memorizing syntax. Emphasis is placed on clear logic building, efficient problem solving, and writing clean Pythonic code.

By the end of the course, learners will be confident in using Python to solve problems using standard data structures and algorithms with proper complexity understanding.

🔹 What You Will Learn

• Python programming from fundamentals to advanced topics

• Problem solving using Python

• Data Structures and Algorithms using Python

• Object-Oriented Programming in Python

• Time and space complexity analysis (Big-O)

• Writing clean, readable, and efficient Python code

🔹 12-Week Detailed Course Plan

📘 Week 1: Introduction to Python & Programming Basics

• Introduction to programming concepts

• Why Python and where it is used

• Installing Python and understanding the Python environment

• Writing the first Python program

• Variables and data types

• Input and output operations

Focus: Getting comfortable with Python syntax

📘 Week 2: Control Flow & Logic Building

• Conditional statements (if, elif, else)

• Looping constructs (for, while)

• Loop control statements (break, continue, pass)

• Pattern printing

• Basic logical problem solving

Focus: Building programming logic

📘 Week 3: Functions & Recursion

• Defining and calling functions

• Parameters and return values

• Scope of variables

• Introduction to recursion

• Recursive problem solving

Focus: Code reusability and problem decomposition

📘 Week 4: Python Built-in Data Types

• Strings and string operations

• Lists and list methods

• Tuples and immutability

• Sets and set operations

• Dictionaries and key-value storage

Focus: Using Python’s core data structures effectively

📘 Week 5: Advanced Data Handling & Problem Solving

• List comprehensions

• Dictionary comprehensions

• Nested data structures

• String and list based problem solving

• Practical Python coding exercises

Focus: Writing efficient and Pythonic code

📘 Week 6: Object-Oriented Programming in Python (Core)

• Classes and objects

• Constructors (__init__)

• Instance and class variables

• Methods

• Encapsulation

Focus: Structuring real-world programs

📘 Week 7: Advanced OOP Concepts

• Inheritance

• Method overriding

• Polymorphism

• Abstraction

• Special (dunder) methods

Focus: Mastering OOP principles in Python

📘 Week 8: Introduction to Data Structures & Complexity Analysis

• What are data structures

• Time and space complexity

• Big-O notation

• Best, average, and worst cases

• Complexity analysis of Python operations

Focus: Writing efficient programs

📘 Week 9: Linear Data Structures Using Python

• Arrays vs Lists

• Stack (implementation using list)

• Queue and deque

• Linked list (conceptual + implementation)

• Linear data structure problems

Focus: Core DSA fundamentals

📘 Week 10: Searching & Sorting Algorithms

• Linear search

• Binary search

• Sorting algorithms:

  • Bubble sort

  • Selection sort

  • Insertion sort

  • Merge sort

  • Quick sort

• Time complexity comparison

Focus: Algorithm implementation and understanding

📘 Week 11: Non-Linear Data Structures

• Trees and binary trees

• Binary search tree

• Tree traversals

• Introduction to hashing

• Dictionary and set internals

Focus: Advanced data structures using Python

📘 Week 12: Algorithmic Problem Solving & Revision

• Recursion-based problems

• Algorithm design techniques

• Revisiting key data structures

• Complexity analysis of solutions

• Final revision and practice problems

Focus: Strengthening concepts and confidence

🔹 Who This Course Is For

• Beginners starting Python from scratch

• Learners wanting a strong foundation in Python

• Anyone interested in data structures and algorithms using Python

• Those aiming to improve logical thinking and code quality

🔹 Teaching Approach

• Step-by-step explanations

• Logic-oriented teaching

• Hands-on coding practice

• Focus on clarity and efficiency

🔹 Key Benefits & Outcomes

By the end of the course, students will:
✔ Understand Python concepts thoroughly
✔ Write clean & efficient Python code
✔ Apply DSA for problem solving
✔ Think logically & algorithmically
✔ Gain confidence in programming fundamentals