DSA Roadmap 2026 🔥 Zero to Placement | Complete Step-by-Step Guide

DSA Roadmap 2026 🔥 Zero to Placement | Complete Step-by-Step Guide

If you are an MCA, BCA, or Engineering student and planning to start Data Structures & Algorithms (DSA) but feeling confused about where to begin, what to study, and how much time it will take, then this video is for you.

In this video, I explain the complete DSA roadmap —
from STEP 0 (Before DSA) to Placement-level preparation, in a clear step-by-step manner.

📌 What you’ll learn in this video:
✅ Best programming language for DSA (C++ or Java)
✅ Arrays, Strings, Recursion, and Linked Lists
✅ Stack, Queue, and Hashing
✅ Trees, BST, and Heaps
✅ Graphs (Most Important Topic)
✅ Dynamic Programming (Interview Favorite)
✅ Daily practice strategy for problem solving
✅ Total time required to complete DSA (4–6 months)

🎯 By following this roadmap, you will:
• Build strong DSA fundamentals
• Solve LeetCode & GFG problems confidently
• Prepare for coding interviews
• Get ready for product-based companies (FAANG level)

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Time Stamps:
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00:00 Intro
00:22 STEP 0: Before DSA
00:53 STEP 1: Arrays & Strings
01:18 STEP 2: Recursion & Backtracking
01:41 STEP 3: Searching & Sorting
02:02 STEP 4: Linked List
02:20 STEP 5: Stack & Queue
02:39 STEP 6: Hashing
02:56 STEP 7: Trees & Binary Trees
03:15 STEP 8: Binary Search Tree
03:32 STEP 9: Heaps & Priority Queue
03:47 STEP 10: Graphs
04:06 STEP 11: Dynamic Programming
04:26 STEP 12: Practice & Revision
04:42 Outro
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👉 Comment below and tell me: Which DSA step are you currently on?

Consistency + Discipline = Placement 🚀

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📌 Topics Covered in This Video

🔹 Choosing the right programming language (C++ / Java)
🔹 Programming fundamentals (variables, loops, functions)
🔹 Time & Space Complexity basics

📦 Arrays
🧵 Strings
👉 Two Pointers Technique
🪟 Sliding Window Technique

🔁 Recursion
🧩 Backtracking
🔢 Subsets & Permutations

🔍 Searching Techniques (Linear & Binary Search)
📊 Sorting Algorithms (Merge Sort, Quick Sort)

🔗 Linked List
🔹 Singly Linked List
🔹 Doubly Linked List
🔹 Fast & Slow Pointer Technique

📚 Stack
📥 Queue
📤 Deque
📈 Monotonic Stack

🧮 Hashing
🔹 HashMap
🔹 HashSet
🔹 Frequency Counting

🌳 Trees
🌲 Binary Trees
🔄 Tree Traversals (Inorder, Preorder, Postorder, Level Order)

🌿 Binary Search Tree (BST)
🔹 Insertion
🔹 Deletion
🔹 Search

⛰️ Heaps
🎯 Priority Queue

🕸️ Graphs
🔹 BFS
🔹 DFS
🔹 Cycle Detection
🔹 Topological Sort
🔹 Shortest Path Algorithms

🔥 Dynamic Programming
🔹 1D DP
🔹 2D DP
🔹 Knapsack
🔹 Longest Increasing Subsequence (LIS)

💻 Problem Solving Practice
🎯 Interview-Oriented Questions
🚀 LeetCode & GeeksforGeeks Practice Strategy