Data Structure
Master fundamental data structures and algorithms to write efficient, scalable code. Learn arrays, linked lists, trees, graphs, and algorithm design for technical interviews and real-world applications.
Data Structure Topics
13 Topics- 1D & 2D Arrays
- Insertion, Deletion, Traversal
- Dynamic Arrays & Resizing
- Array Operations & Complexity
- String Operations & Methods
- String Manipulation Techniques
- Pattern Matching Algorithms
- String Encoding & Decoding
- Singly Linked List
- Doubly Linked List
- Circular Linked List
- Linked List Operations
- Stack Implementation (Array/Linked List)
- Applications of Stacks
- Infix, Prefix, Postfix Conversions
- Expression Evaluation
- Linear Queue Implementation
- Circular Queue
- Priority Queue
- Deque (Double Ended Queue)
- Binary Trees & Properties
- Binary Search Trees (BST)
- Tree Traversals (Inorder, Preorder, Postorder)
- AVL Trees & Balancing
- Graph Representation (Adjacency Matrix/List)
- BFS & DFS Algorithms
- Shortest Path Algorithms
- Minimum Spanning Tree
- Hash Functions & Properties
- Collision Handling Techniques
- Applications of Hashing
- Hash Tables Implementation
- Recursive Techniques & Patterns
- Backtracking Algorithms
- Recursive vs Iterative Approaches
- Recursion Tree Analysis
- Linear Search
- Binary Search
- Jump Search
- Interpolation Search
- Bubble Sort
- Selection Sort
- Merge Sort
- Quick Sort
- Heap Sort
- Radix Sort
- Greedy Strategy & Properties
- Applications & Use Cases
- Fractional Knapsack
- Huffman Coding
- Big-O Notation Analysis
- Complexity Classes
- Best, Average, Worst Case Analysis
- Algorithm Efficiency Measurement
Master Data Structures for Technical Interviews
Join thousands of developers who have mastered data structures and algorithms for coding interviews and real-world applications.