DSA Roadmap 2026 in Hindi – Beginner to Placement (90 Days Plan)

Agar aap DSA roadmap, dsa roadmap for beginners in Hindi, ya placement ke liye complete plan dhoond rahe hain, to yeh guide aapko step-by-step execution strategy deti hai. Yeh sirf topics list nahi hai — yeh ek actionable roadmap hai.

Is article me aapko 90 days dsa roadmap, dsa roadmap pdf, aur different variations jaise java dsa roadmap, python dsa roadmap, aur dsa roadmap c++ sab ek jagah milenge.

📌 What is DSA?

DSA (Data Structures and Algorithms) programming ka core foundation hai.
Iska use karke aap problems ko efficiently solve karte hain aur optimized code likhte hain.

Example:
Agar aap 1000 elements search kar rahe hain:

• Linear Search → O(n)

• Binary Search → O(log n)

Yeh difference DSA sikhata hai.

🎯 Why DSA Important Hai?

• Technical interviews me DSA mandatory hota hai

• Problem solving skill strong hoti hai

• Efficient aur optimized code likhna aata hai

• Top companies (MNCs) DSA pe focus karti hain

Conclusion: Agar placement chahiye, DSA ignore nahi kar sakte.

💻 DSA Roadmap by Programming Language

🔹 C++ DSA Roadmap

• STL (vector, map, set) must

• Fast for competitive programming

🔹 Java DSA Roadmap

• OOP + DSA combo

• Interviews me popular

🔹 Python DSA Roadmap

• Easy syntax

• Beginners ke liye best

Conclusion: Language matter nahi karta, problem-solving matter karta hai.

2026 Interview Pattern (Reality)

• 60–70% questions → DSA

• 20–30% → Problem solving approach

• 10% → CS fundamentals

Trend:

• Companies ab “pattern based questions” pooch rahi hain

• Blind memorization fail ho raha hai

Tip: Pattern identify karna seekho (Sliding Window, Two Pointer, etc.)

Important DSA Patterns

• Two Pointer

• Sliding Window

• Binary Search on Answer

• Backtracking

• Greedy

• DP Patterns

Complete DSA Roadmap (Step-by-Step)

Step 1: Basics (Day 1–15)

Topics:

• Variables

• Data Types

• Loops (for, while)

• Functions

• Arrays & Strings

Example:
Array = [1,2,3,4]
Index-based access → O(1)

Goal: Programming logic clear hona chahiye.

Step 2: Data Structures (Day 15–30)

Topics:

• Array (advanced)

• Linked List

• Stack (LIFO)

• Queue (FIFO)

Example:
Stack → Push, Pop operations
Use case: Undo operations

Step 3: Algorithms (Day 30–60)

Topics:

• Searching (Linear, Binary)

• Sorting (Bubble, Merge, Quick)

• Recursion

Example:
Binary Search:

• Sorted array me kaam karta hai

• Time complexity → O(log n)

Step 4: Advanced DSA (Day 60–90)

Topics:

• Trees (Binary Tree, BST)

• Graphs (BFS, DFS)

• Heap (Priority Queue)

• Dynamic Programming

Example:
Fibonacci using DP → optimized approach

90 Days DSA Roadmap (Daily Plan)

Month 1 – Basics + Easy Problems

• Day 1–3 → Arrays + 5 questions

• Day 4–6 → Strings + 5 questions

• Day 7–10 → Functions + Recursion basics

• Day 11–15 → Practice + revision

Month 2 – Intermediate

• Day 16–20 → Linked List

• Day 21–25 → Stack & Queue

• Day 26–30 → Searching + Sorting

Month 3 – Advanced + Placement Prep

• Day 31–40 → Trees

• Day 41–50 → Graphs

• Day 51–60 → Heap + Greedy

• Day 61–90 → Dynamic Programming + Mock Interviews

Time Complexity (Must Know)

Complexity                                         Meaning

O(1)                                                     Constant time

O(log n)                                                Fast (Binary Search)

O(n)                                                     Linear

O(n²)                                                    Slow

Tip: Interview me optimization important hota hai.

Best Questions (Topic Wise)

Arrays:

• Two Sum

• Kadane’s Algorithm

Stack:

• Valid Parentheses

Linked List:

• Reverse Linked List

Tree:

• Inorder Traversal

Dynamic Programming:

• Fibonacci

• Knapsack

Best Free Resources

YouTube (Hindi)

• Apna College

• CodeWithHarry

• Love Babbar

Websites

• GeeksforGeeks

• LeetCode

• CP-Algorithms

Common MistakesSirf videos dekhna (no practice)

• Copy-paste coding

• Time complexity ignore karna

• Revision skip karna

✅ Fix

• Har problem khud likho

• Dry run karo

• Notes banao

• Weekly revision mandatory

Placement Strategy

• Basics strong karo

• Daily 2–3 problems solve karo

• Weekly mock interviews do

• Revision mandatory rakho

FAQ

DSA kitne din me seekh sakte hain?
3 months me strong base ban sakta hai.

Kaunsi language best hai?
C++, Java, Python — koi bhi chalegi. Logic important hai.

Daily kitna time dena chahiye?
2–3 hours enough hai consistency ke saath.

Conclusion

Yeh complete DSA roadmap in Hindi beginners ko step-by-step guide karta hai. Agar aap is 90-day plan ko follow karte hain, to aap easily placement level tak pahunch sakte hain.

अगर आप रोज़ 2–3 घंटे consistently देते हैं,

तो 90 दिनों में आप interview-ready बन सकते हैं।

अब इंतज़ार मत करो।

आज से शुरू करो — क्योंकि competition रुकने वाला नहीं है।