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Course Content
DSA Introduction
0/6
What is an Algorithm?
Why Learn DSA?
Data Structures and Their Types
Asymptotic Notations
Master Theorem
Divide and Conquer Algorithm
Linear Data Structures (I)
0/15
Array
Array Implementation
Types of Arrays
String
String Operations
String Builder vs. String Buffer
Linked List
Linked List Operations
Types of Linked Lists
Stacks
Queue
Types of Queue
Circular Queue
Priority Queue
Deque
Hierarchical Data Structures (I – Trees)
0/14
Trees
Binary Trees
Binary Search Tree
AVL Trees
B Trees
Heaps
Min Heap
Max Heap
Heap Sort
Hash Tables
Disjoint Set Union
Trie
Segment Tree
Fenwick Tree
Hierarchical Data Structures (II – Graphs)
0/9
Graphs
Adjacency Matrix
Adjacency List
Depth First Search
Breadth First Search
Shortest Path Algorithms
Dijkstra’s Algorithm
Bellman Ford Algorithm
Minimum Spanning Tree
Graph Algorithms
0/4
Depth First Search
Depth First Search
Topological Sort
Strongly Connected Components
Algorithmic Paradigms
0/5
Greedy Algorithms
Brute Force
Backtracking
Sliding Window Technique
Two Pointer Technique
Searching Algorithms
0/4
Binary Search
Linear Search
Depth First Search
Breadth First Search
Sorting Algorithms
0/10
Bubble Sort
Selection Sort
Insertion Sort
Merge Sort
Quick Sort
Counting Sort
Radix Sort
Bucket Sort
Heap Sort
Shell Sort
Dynamic Programming
0/6
Introduction to DP
Fibonacci Series using DP
Longest Common Subsequence
Longest Increasing Subsequence
Knapsack Problem
Dynamic Programming on Trees
Data Structure
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