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Everything from 0 to Advance | DSA Calendar 2026 | Plan of Action

DSA Calendar 2026 | Plan of Action 🔥

DSA is no longer about solving random sheets or memorizing solutions. It’s about a clear, structured, and realistic approach from absolute beginner to interview-ready Candidate.

  • How to start DSA from zero (even if you don’t know coding)
  • When to focus on language basics vs DSA
  • A 3-phase preparation strategy used by serious engineers
  • Exact timelines for topics, patterns, and problem counts
  • Why 300–400 problems ≠ success (and what actually matters)
  • How to shift from learning mode to real problem-solving mode
  • Contest strategy, mistake tracking, and revision framework
  • Advanced concepts you should touch (and when)

DSA Talks: Learn, Solve & Crack: 🎥 Watch Full Playlist on YouTube

150 Programming Sheet: 🎥 150 Sheet Link

150 Programming Video: 🎥 Video Link

Problem Solving: 🎥 Video Link


🟢 PHASE 1: Foundation Level Preparation (0 → Beginner)

This phase is only for beginners. If someone knows nothing about coding, don't panic.

✅ Step 1: Pick ONE Programming Language

Choose one language only (C++ / Java / Python / JavaScript)

❌ No language hopping

❌ No framework first

Your goal here is not DSA. Your goal is to understand the language itself:

  • Variables & data types
  • Conditions & loops
  • Functions
  • Arrays & strings
  • Basic recursion
  • Input / Output thinking

📌 Follow one complete beginner-friendly tutorial from start to end.

✅ Step 2: Build Logical Thinking (Very Important)

After basics, start solving simple programming problems.

This is where 150 Programming Problems Sheet comes in.

Why this phase matters:

  • Builds logical thinking
  • Improves problem understanding
  • Removes fear of problem statements

👉 Don't rush

👉 Don't skip

👉 This phase builds your base

🟡 PHASE 2: Data Structures & Algorithms Preparation

Now you enter structured DSA learning.

🎯 Your goals in this phase:

  • Understand DSA concepts
  • Learn patterns
  • Understand algorithm flow
  • ❌ NOT memorizing solutions

✅ What to Do

Pick ONE high-quality DSA resource

It must cover:

  • Topics from 0 → advanced
  • All core data structures
  • Common problem-solving patterns
  • ~300–400 problems (quality > quantity)

⚠️ Important: Solving 300–400 problems is not the goal. Understanding WHY a solution works is the goal.

📺 Watch first: "How to Pick the Right DSA Resource"

⏳ Timeline

3–4 months total

Cover everything:

  • Arrays → Graphs
  • Recursion → DP
  • Trees → Advanced patterns

Focus on:

  • Concepts
  • Flow of algorithms
  • Pattern recognition

🔴 PHASE 3: Problem-Solving Level (THE REAL PREPARATION) 🔥

Now stop learning. Start practicing like an engineer.

This phase decides your interview performance.

✅ What to Do Daily

  • Solve POTD (Problem of the Day)
  • Solve random Easy & Medium problems
  • ❌ Stop following sheets blindly

When you can:

  • ✔ Solve Easy comfortably
  • ✔ Solve Medium with effort

➡️ Move to Virtual Contests

🧠 Contest Strategy

  • Start with 10–20 virtual contests
  • Even 2–3 solved problems are enough
  • Focus on:
    • Thinking under pressure
    • Time management
    • Approach clarity

Then move to real contests

📌 Most Important Rules

  • Solve random problems
  • Write down mistakes
  • Identify weak areas
  • Fix them deliberately
  • Parallel revision using:
    • Problem-solving docs
    • Concept-based videos

⏳ Maintain discipline for 4–6 months

📊 CHART 1: DSA Topics – Structured Preparation Table

Purpose: This chart helps you plan what, how long, and how deep to study each DSA topic from an interview POV.

Topic Name Duration Min Problems Important (Interview POV) Difficulty Status Tags
Time & Space Complexity 2–3 Days 10–15 ⭐⭐⭐⭐⭐ Easy Not Started Basics
Arrays 2 Weeks 40–50 ⭐⭐⭐⭐⭐ Easy–Medium Not Started Core, Foundation
Strings 1 Week 25–30 ⭐⭐⭐⭐ Easy–Medium Not Started Core
Recursion Basics 5–7 Days 20–25 ⭐⭐⭐⭐⭐ Medium Not Started Core, Foundation
Linked List 1 Week 25–30 ⭐⭐⭐⭐ Medium Not Started Core
Stack 5–7 Days 20–25 ⭐⭐⭐⭐ Medium Not Started Core
Queue & Deque 3–4 Days 15–20 ⭐⭐⭐ Easy–Medium Not Started Core
Hashing 1 Week 25–30 ⭐⭐⭐⭐⭐ Medium Not Started Core, Foundation
Binary Search (Pattern) 1 Week 25–30 ⭐⭐⭐⭐⭐ Medium Not Started Core, Pattern
Binary Tree 2 Weeks 40–50 ⭐⭐⭐⭐⭐ Medium Not Started Core, Foundation
Binary Search Tree (BST) 5–7 Days 20–25 ⭐⭐⭐⭐ Medium Not Started Core
Heap / Priority Queue 5–7 Days 20–25 ⭐⭐⭐⭐ Medium Not Started Core
Greedy Algorithms 5–7 Days 20–25 ⭐⭐⭐⭐ Medium Not Started Advanced
Backtracking 1 Week 20–25 ⭐⭐⭐⭐ Medium–Hard Not Started Advanced
Dynamic Programming 3–4 Weeks 50–60 ⭐⭐⭐⭐⭐ Hard Not Started Core, Advanced
Graph Basics (BFS/DFS) 1 Week 25–30 ⭐⭐⭐⭐⭐ Medium Not Started Core, Foundation
Advanced Graphs (MST, SP, DAG) 2 Weeks 30–35 ⭐⭐⭐⭐ Hard Not Started Advanced
Bit Manipulation 3–4 Days 15–20 ⭐⭐⭐ Easy–Medium Not Started Optional
Math & Number Theory 3–4 Days 10–15 ⭐⭐ Easy Not Started Optional

📊 CHART 2: DSA Patterns – Complete Interview Master Chart (2026)

Topic Pattern Duration Min Problems Important (Interview POV) Difficulty Status Tags
Array Two Pointers 2–3 Days 15–20 ⭐⭐⭐⭐⭐ Easy Not Started Pattern, Core
Array Sliding Window 2 Days 10–15 ⭐⭐⭐⭐⭐ Easy Not Started Pattern, Core
Array Prefix Sums 1–2 Days 8–10 ⭐⭐⭐⭐ Easy Not Started Pattern
Array Difference Array 1 Day 5–6 ⭐⭐⭐⭐ Easy Not Started Pattern
Array Merge Intervals 2 Days 10–12 ⭐⭐⭐⭐ Medium Not Started Pattern
Array Sorting Based Logic 2 Days 10–12 ⭐⭐⭐ Medium Not Started Pattern
Array Subarray / Subsequence 2 Days 10–12 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Array Kadane's Algorithm 1 Day 5–6 ⭐⭐⭐⭐ Medium Not Started Pattern
Array Cyclic Sort Pattern 1 Day 5–6 ⭐⭐⭐⭐ Medium Not Started Pattern
Array Dutch National Flag 1 Day 4–5 ⭐⭐⭐ Medium Not Started Pattern
Binary Search Basic Binary Search 1–2 Days 8–10 ⭐⭐⭐⭐⭐ Easy Not Started Pattern, Core
Binary Search Range Search 1 Day 5–6 ⭐⭐⭐⭐ Medium Not Started Pattern
Binary Search Allocation Problems 2 Days 8–10 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Binary Search Counting Occurrences 1 Day 5–6 ⭐⭐⭐ Medium Not Started Pattern
Binary Search Bitonic Array Search 1 Day 4–5 ⭐⭐⭐ Medium Not Started Pattern
Binary Search Binary Search on Answer 2 Days 8–10 ⭐⭐⭐⭐⭐ Medium–Hard Not Started Pattern, Core
Binary Search First True / Last False 1 Day 4–5 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Binary Search Peak Finding 1 Day 4–5 ⭐⭐⭐⭐ Medium Not Started Pattern
String Two Pointers 1–2 Days 8–10 ⭐⭐⭐⭐ Easy Not Started Pattern
String Sliding Window 1–2 Days 8–10 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
String HashMap / Frequency 2 Days 10–12 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
String String Manipulation 1 Day 5–6 ⭐⭐⭐ Easy Not Started Pattern
String Anagram Pattern 1 Day 5–6 ⭐⭐⭐⭐ Medium Not Started Pattern
String Rolling Hash (Rabin–Karp) 1 Day 4–5 ⭐⭐⭐⭐ Medium Not Started Pattern, Advanced
String Trie Based Problems 2 Days 6–8 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
String Regular Expressions 1 Day 3–4 ⭐⭐ Medium Not Started Optional
Recursion Basic Recursive Functions 1–2 Days 8–10 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Recursion Divide & Conquer 1–2 Days 6–8 ⭐⭐⭐⭐ Medium Not Started Pattern
Recursion Recursive Search 1 Day 5–6 ⭐⭐⭐ Medium Not Started Pattern
Recursion Backtracking 2–3 Days 10–12 ⭐⭐⭐⭐⭐ Medium–Hard Not Started Pattern, Core
Recursion Pruning Techniques 1 Day 4–5 ⭐⭐⭐⭐ Medium Not Started Pattern, Advanced
Recursion State Space Tree 1 Day 4–5 ⭐⭐⭐⭐ Medium Not Started Pattern
Recursion Recursion → DP Conversion 1–2 Days 6–8 ⭐⭐⭐⭐⭐ Hard Not Started Pattern, Core
Linked List Fast & Slow Pointers 2 Days 10–12 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Linked List Dummy Node Technique 1 Day 5–6 ⭐⭐⭐⭐ Medium Not Started Pattern
Linked List In-Place Reversal 1–2 Days 8–10 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Linked List Recursive Linked List 1 Day 4–5 ⭐⭐⭐ Medium Not Started Pattern
Linked List Merge & Intersection 1 Day 5–6 ⭐⭐⭐⭐ Medium Not Started Pattern
Stack / Queue Design Problems 3–4 Days 15–20 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Stack Monotonic Stack 2 Days 8–10 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Stack Histogram Pattern 1–2 Days 6–8 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Stack Next Greater / Smaller (All Variants) 1 Day 6–8 ⭐⭐⭐⭐ Medium Not Started Pattern
Stack Expression Evaluation 1–2 Days 6–8 ⭐⭐⭐⭐ Medium Not Started Pattern
Stack Two Stacks / Min Stack 1 Day 4–5 ⭐⭐⭐ Medium Not Started Pattern
Queue Sliding Window + Monotonic Queue 2 Days 6–8 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Tree Traversals 2 Days 10–12 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Tree Construction 2 Days 8–10 ⭐⭐⭐⭐ Medium Not Started Pattern
Tree Mirror & Symmetry 1 Day 5–6 ⭐⭐⭐ Medium Not Started Pattern
Tree Path Sum / Root to Leaf 1–2 Days 6–8 ⭐⭐⭐⭐ Medium Not Started Pattern
Tree Validation & Properties 1 Day 5–6 ⭐⭐⭐⭐ Medium Not Started Pattern
Tree LCA & Diameter 2 Days 8–10 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Tree Tree Views (Top/Bottom) 1 Day 4–5 ⭐⭐⭐⭐ Medium Not Started Pattern
Tree Flattening Trees 1 Day 4–5 ⭐⭐⭐⭐ Medium Not Started Pattern
Tree Binary Lifting (Intro) 1 Day 3–4 ⭐⭐⭐ Hard Not Started Advanced
Heap / PQ Kth Largest / Smallest 1–2 Days 6–8 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Heap / PQ Top K Frequent 1 Day 5–6 ⭐⭐⭐⭐ Medium Not Started Pattern
Heap / PQ Merge K Lists 1 Day 4–5 ⭐⭐⭐⭐ Medium Not Started Pattern
Heap / PQ Sliding Window Max / Min 1 Day 4–5 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Heap / PQ Streaming Data (Median) 1–2 Days 4–6 ⭐⭐⭐⭐ Medium Not Started Pattern
Heap / PQ Greedy + Heap 1 Day 4–5 ⭐⭐⭐⭐ Medium Not Started Pattern
DP Basic Dynamic Programming 2–3 Days 8–10 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
DP Optimal Substructure 1–2 Days 6–8 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
DP DP on Subsequences 2 Days 8–10 ⭐⭐⭐⭐⭐ Hard Not Started Pattern, Core
DP Knapsack Problems 3 Days 10–12 ⭐⭐⭐⭐⭐ Hard Not Started Pattern, Core
DP Interval / Range DP 2 Days 6–8 ⭐⭐⭐⭐ Hard Not Started Pattern
DP Counting DP 2 Days 6–8 ⭐⭐⭐⭐ Medium Not Started Pattern
DP DP on Trees 2 Days 6–8 ⭐⭐⭐⭐ Hard Not Started Pattern, Advanced
DP Bitmask DP 2 Days 5–6 ⭐⭐⭐⭐ Hard Not Started Pattern, Advanced
DP Digit DP (Intro) 1 Day 3–4 ⭐⭐⭐ Hard Not Started Advanced
Graph Connected Components 1–2 Days 6–8 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Graph Grid-Based BFS / DFS 1–2 Days 6–8 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Graph Multi-Source BFS 1 Day 4–5 ⭐⭐⭐⭐ Medium Not Started Pattern
Graph Cycle Detection 1–2 Days 6–8 ⭐⭐⭐⭐ Medium Not Started Pattern
Graph Bipartite Graph Check 1 Day 4–5 ⭐⭐⭐⭐ Medium Not Started Pattern
Graph Shortest Path (BFS / Dijkstra) 2–3 Days 8–10 ⭐⭐⭐⭐⭐ Medium–Hard Not Started Pattern, Core
Graph Union-Find (DSU) 1–2 Days 6–8 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Graph Minimum Spanning Tree 2 Days 6–8 ⭐⭐⭐⭐ Medium Not Started Pattern
Graph DAG / Topological Sort 1–2 Days 6–8 ⭐⭐⭐⭐⭐ Medium Not Started Pattern, Core
Graph Strongly Connected Components 1 Day 3–4 ⭐⭐⭐ Hard Not Started Advanced
Meta Problem Reduction Pattern Continuous ⭐⭐⭐⭐⭐ Conceptual Ongoing Meta-Pattern

🎯 Progress Tracker Summary

Total Topics in Chart 1: 19

Total Patterns in Chart 2: 90+

Estimated Total Time: 6–10 months (depending on consistency, disciple and hardwork)

Current Progress: 0%

Key Guidelines for Using This Tracker:

  • Update the Status column as you complete topics/patterns (Not Started → In Progress → Completed)
  • Use the Tags column to filter by importance (Core, Pattern, Advanced, Optional)
  • Focus on 5-star rated topics/patterns first - these are critical for interviews
  • Don't skip easier topics thinking they're "too simple" - they build your foundation
  • Review completed topics periodically to maintain retention

❌ No shortcuts ❌ No motivation hacks ✅ Only consistent execution

Some Advanced Concept

  • Segment Tree & Fenwick Tree (BIT) – For efficient range queries and updates.
  • Disjoint Set Union (Union-Find) – Used in Kruskal’s MST and cycle detection in graphs.
  • KMP & Rabin-Karp Algorithm – Essential for efficient string pattern matching.
  • Number Theory & Mathematics – Covers GCD, LCM, Modular Arithmetic, and Prime Factorization.
  • Advanced Graph Algorithms – Includes Tarjan’s (SCC), Floyd-Warshall, and Johnson’s Algorithm
  • Suffix Array & Suffix Tree – Useful for advanced string matching problems.
  • Mo’s Algorithm – Optimized approach for answering range queries offline.
  • Game Theory – Includes Grundy numbers, Nim Game, and optimal strategies.
  • Trie + Bit Manipulation – Useful for problems involving XOR queries and efficient searching.
  • Heavy-Light Decomposition (HLD) – Advanced technique for handling tree queries efficiently.

🔔 Update: This document will be continuously updated based on industry trends and interview requirements, with new patterns, topics, and advanced concepts added over time.

@Arati2024-faith
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True DSA

@sahilaw22
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Amazing!!

@mudassir-92
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Good one

@SuryanshShukla11
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its to perfect

@AstronDaniel
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Wonderful

@Kinkymorphine01
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Good one

@WasimIqbal0606
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Amazing

@0iamhsk0
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Prince bhaiyya is the best!

@ranjit485
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Best

@Ritikrak
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Nice

@Neel0305
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Neel0305 commented Jan 1, 2026

Good one bro

@Bennysai14
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Wow good one

@scuebaduuuu2425
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Awsm

@Sibghatullah7321
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great

@joeycool99
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nice

@codewarri
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thanks man

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