Skip to content

Instantly share code, notes, and snippets.

@PrinceSinghhub
Last active December 28, 2025 20:16
Show Gist options
  • Select an option

  • Save PrinceSinghhub/2ac8a1216c638e559123262dae4f1c1f to your computer and use it in GitHub Desktop.

Select an option

Save PrinceSinghhub/2ac8a1216c638e559123262dae4f1c1f to your computer and use it in GitHub Desktop.
Everything from 0 to Advance | DSA Calendar 2026 | Plan of Action

DSA Calendar 2026 | Plan of Action πŸ”₯

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 β‰  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: πŸŽ₯ Watch Full Playlist on YouTube

150 Programming Sheet: πŸŽ₯ 150 Sheet Link

150 Programming Video: πŸŽ₯ Video Link

Problem Solving: πŸŽ₯ Video Link


🟒 PHASE 1: Foundation Level Preparation (0 β†’ Beginner)

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

βœ… 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

πŸ“Œ Follow one complete beginner-friendly tutorial from start to end.

βœ… 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

πŸ‘‰ Don't rush

πŸ‘‰ Don't skip

πŸ‘‰ 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

βœ… What to Do

Pick ONE high-quality DSA resource

It must cover:

  • Topics from 0 β†’ 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.

πŸ“Ί Watch first: "How to Pick the Right DSA Resource"

⏳ Timeline

3–4 months total

Cover everything:

  • Arrays β†’ Graphs
  • Recursion β†’ DP
  • Trees β†’ Advanced patterns

Focus on:

  • Concepts
  • Flow of algorithms
  • Pattern recognition

πŸ”΄ PHASE 3: Problem-Solving Level (THE REAL PREPARATION) πŸ”₯

Now stop learning. Start practicing like an engineer.

This phase decides your interview performance.

βœ… What to Do Daily

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

When you can:

  • βœ” Solve Easy comfortably
  • βœ” Solve Medium with effort

➑️ 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

πŸ“Œ 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

πŸ“Š 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

πŸ“Š 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 β†’ 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 β€” ⭐⭐⭐⭐⭐ 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 β†’ In Progress β†’ 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 βœ… 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.

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

@mudassir-92
Copy link

Good one

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment