Data Structure and Algorithms (Basics) in 30 hours
Anirban Sinha
Data Structure and Algorithms (Basics) in 30 hours
Courses
Arrays - 1 hour
Strings - 1 hour
Bit Manipulation - 1 hour
Hash Tables - 1 hour
Two Pointers - 1 hour
Prefix Sum - 1 hour
Sliding Window - Fixed Size - 1 hour
Sliding Window - Dynamic Size - 1 hour
Kadane's Algorithm - 1 hour
Matrix (2D Array) - 1 hour
Linked List - 1 hour
LinkedList In-place Reversal - 1 hour
Fast and Slow Pointers - 1 hour
Stacks - 1 hour
Monotonic Stack - 1 hour
Queues - 1 hour
Monotonic Queue - 1 hour
Bucket Sort - 1 hour
Recursion - 1 hour
Divide and Conquer - 1 hour
Merge Sort - 1 hour
QuickSort / QuickSelect - 1 hour
Binary Search - 1 hour
Backtracking - 1 hour
Tree Traversal - Level Order - 1 hour
Tree Traversal - Pre Order - 1 hour
Tree Traversal - In Order - 1 hour
Tree Traversal - Post-Order - 1 hour
BST / Ordered Set - 1 hour
Tries - 1 hour
Heaps - 1 hour
Two Heaps - 1 hour
Top K Elements - 1 hour
Intervals - 1 hour
K-Way Merge - 1 hour
Data Structure Design - 1 hour
Greedy - 1 hour
Depth First Search (DFS) - 1 hour
Breadth First Search (BFS) - 1 hour
Topological Sort - 1 hour
Union Find - 1 hour
Minimum Spanning Tree - 1 hour
Shortest Path - 1 hour
Eulerian Circuit - 1 hour
1-D DP - 1 hour
0/1 Knapsack - 1 hour
Unbounded Knapsack - 1 hour
Longest Increasing Subsequence (LIS) - 1 hour
2D Grid DP - 1 hour
String DP - 1 hour
Tree / Graph DP - 1 hour
Bitmask DP - 1 hour
Digit DP - 1 hour
Probability DP - 1 hour
State Machine DP - 1 hour
Maths / Geometry - 1 hour
String Matching - 1 hour
Binary Indexed Tree / Segment Tree - 1 hour
Line Sweep - 1 hour
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