🚀 Boost Your Coding Skills with Paath Shiksha – Master DSA from Scratch!

Whether you're preparing for tech interviews or aiming to become a better problem solver, mastering Data Structures and Algorithms (DSA) is your game-changer. Start your journey with Paath Shiksha – where learning meets daily practice!

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🔰 Module 1: Introduction to DSA

• What is DSA? Importance & Real-world Applications

• Algorithm Analysis

  • Time & Space Complexity

  • Big-O, Big-Theta, Big-Omega Notations

• Recursion

  • Concept & Use Cases

  • Recursive vs Iterative

  • Practice Problems

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🧮 Module 2: Arrays and Strings

• 1D & 2D Arrays

• Array Operations: Traverse, Insert, Delete, Search, Sort

• Multi-dimensional Arrays

• Strings & String Manipulation

  • Reverse, Palindrome, Pattern Matching

• Applications: Matrix, Anagram Checker

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🔗 Module 3: Linked Lists

• Singly Linked List: Operations & Applications

• Doubly Linked List: Use Cases

• Circular Linked List

• Applications: Memory Management, Stacks/Queues

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📚 Module 4: Stacks and Queues

• Stacks: Push, Pop, Peek

  • Applications: Backtracking, Expression Eval

• Queues: Enqueue, Dequeue, Circular Queues

  • Applications: Scheduling, Buffers

• Priority Queues & Deques

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🌳 Module 5: Trees

• Tree Basics: Terminology (Root, Height, Leaf)

• Binary Trees: Inorder, Preorder, Postorder

• Binary Search Trees (BST)

  • Insert, Delete, Search

  • Real-world Use: Dictionaries, Hierarchies

• Balanced Trees Overview: AVL, Red-Black Trees

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🔗 Module 6: Graphs

• Graph Terminology: Vertices, Edges, Degree

• Representations: Adjacency Matrix/List

• Traversals: DFS, BFS

• Applications: Shortest Paths, Connectivity

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🧠 Module 7: Hashing

• Hash Tables & Functions

• Collision Resolution:

  • Chaining

  • Open Addressing

• Real-life Uses: Caching, Indexing

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🔄 Module 8: Sorting and Searching Algorithms

• Searching: Linear, Binary

• Sorting:

  • Bubble, Selection, Insertion

  • Merge, Quick, Heap Sort

• Performance: Time & Space Analysis

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🔍 Module 9: Advanced Topics

• Heap: Max-Heap, Min-Heap

• Greedy Algorithms: Activity Selection, Huffman Coding

• Divide & Conquer: Merge Sort, Quick Sort

• Dynamic Programming: LCS, Knapsack

• Backtracking: N-Queens, Sudoku Solver

 

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🏆 Module 10: Practice + Competitive Programming

• Solve Real-life Challenges

• Optimization Techniques

• Tips & Tricks for CP

• Mock Contests to Sharpen Skills

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🎯 Why Choose Paath Shiksha?

• Daily practice and mock tests

• Beginner to Advanced level topics

• Perfect for coding interviews and placements

• Learn with industry-relevant examples and real-world projects

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🚀 Start Today and stay ahead in the world of tech!

🔗 www.paathshiksha.com | 💻 #PaathShiksha | 📈 #DSAwithPaathShiksha

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