Data Structures & Algorithms Mastery Roadmap

A comprehensive DSA roadmap covering arrays, recursion, linked lists, trees, graphs, dynamic programming, and more essential for coding interviews and system design foundations.

Duration

20+ weeks

Level

Beginner to Advanced

Learners

50K+

Career Opportunity

Software Engineer, SDE, Backend Developer, AI/ML Engineer, Competitive Programmer

Prerequisites

Basic programming knowledge (in any language)

Problem-solving mindset

Overall Progress

0 of 143 Completed

Learning Path

1. Introduction to DSA

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Why to learn DSA?

Programming Basics

Time & Space Complexity

2. Functions & if-else

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Two Sum

Check Voting Eligibility

Square Number

Even or Odd

Second largest

Count digit

3. Loops

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Loops A2Z

Count Negative Numbers in an Array

Find Smallest Number in an Array

Find Largest Number in an Array

Print all even number in an Array

Star patterns

4. Arrays

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Remove Duplicates

Remove Element

Reverse String

Best Time to Buy and Sell Stocks

Merge Sorted Arrays

Move Zeros

Max Consecutive Ones

Missing Number

Single Number

5. Recursion

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Recursion A2Z

Fibonacci Number

Sum of first n numbers

Sum of all numbers in array

Sum of odd numbers in array

Factorial of n

Power of Two

6. Searching & Sorting

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Linear Search

Binary Search

Bubble Sort

Selection Sort

Insertion Sort

Merge Sort

7. Linked List

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Introduction to Linked List

Design Linked List

Adding Nodes to Linked List

Deleting Nodes in Linked List

Middle of Linked List

Reverse Linked List

Linked List Cycle - Hash Table

Linked List Cycle - Floyd's Algorithm

Palindrome Linked List

Intersection of two Linked Lists

Remove Linked List Elements

Remove nth node from end of List - Two Pass

Remove nth Node from end - One Pass

Remove Duplicates from Sorted List

Odd Even Linked List

Add Two Numbers

Merge Two Sorted Lists

Rotate List

Swap Nodes in Pairs - Iterative Approach

Swap Nodes in Pair - Recursive Approach

8. Strings

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Length of Last Word

Find Words Containing Character

Jewels and Stones

Find Most Frequent Vowel and Consonant

Split a String in Balanced Strings

Reverse String II

Valid Palindrome

Largest Odd Number in a String

Longest Common Prefix

Valid Anagram

Isomorphic Strings

Group Anagrams

9. Stack and Queues

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Resources:

Introduction to Stacks & Queues

Playing with Stacks & Queues

Implement Stack

Implement Queue using Stacks

Valid Parentheses

Min Stack

Remove Outermost Parentheses

Evaluate Reverse Polish Notation

Next Greater Element

Daily Temperatures

Next Greater Element - II

Rotting Oranges

10. Binary Search Algorithm

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Square Root of X

Best Practice - Finding Middle Element

Guess Higher or Lower

Search in Rotated Sorted Array

First Bad Version

Find Peak Element

Find Minimum in Rotated Sorted Array

Find First & Last Position in Sorted Array

Find Peak in a Mountain Array

Single Element in a Sorted Array

Find k Closest Elements

11. Two Pointers & Sliding Window

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Two Sum

Two Sum II

Is Subsequence

Find Index of First Occurrence in String

KMP (Knuth-Morris-Pratt) Algorithm

Intersection of Two Linked Lists

Container with Most Water

Three Sum

Trapping Rain Water

Longest Substring Without Repeating Characters

Longest Repeating Character Replacement

Permutation in String

Sliding Window Maximum

12. Binary Tree

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Resources:

Introduction to Trees

Binary Tree

Preorder Traversal

Inorder & PostOrder

Inorder Traversal

Postorder

DFS and BFS in Binary Tree

Level Order Traversal

Maximum Depth of Binary Tree

Path Sum

Symmetric Tree

Invert a Binary Tree

Same Tree

Balanced Binary Tree

Diameter of a Binary Tree

Zigzag Level Order Traversal

Subtree of another Tree

Lowest Common Ancestor

Binary Tree Right Side View

Count Good Nodes in Binary Tree

Populating Next Right Pointers in Each Node

Binary Tree Maximum Path Sum

13. Binary Search Tree

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Binary Search Tree

Valid Binary Search Tree

Search in a BST

Insert into a BST

Kth Smallest Element

Lowest Common Ancestor of a BST

14. Heap

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Introduction to Heaps

Creating a Heap

Inserting a node in Heap

Extracting Values in Heap & HeapifyDown

Heap Sort Algorithm

15. Backtracking

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Coming Soon...

16. Greedy Algorithm

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Coming Soon...

17. Dynamic Programming

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Coming Soon...

18. Graphs

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Coming Soon...

19. Tries

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Coming Soon...

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