Problem Solving Roadmap
A structured guide to learning Data Structures and Algorithms → tailored separately for beginner, intermediate, and advanced learners.

For anyone struggling with questions like:
“Where do I start?”
“What should I do next?”
This roadmap answers that with a clear, step-by-step path.

DKodeTree Roots 25

Where to Start

Too many people get overwhelmed by large problem lists because they skip the fundamentals. Jumping into tough challenges without building a habit and without strengthening the basics is a common mistake.

Whether you're new to DSA or refreshing your skills, start your journey with DKodeTree Roots 25. This focused set covers the fundamental concepts required for almost every coding interview.

Mastering these early builds genuine confidence and makes advanced topics feel intuitive and easy to handle.

Next Steps

Once you've built your foundation with Roots 25, follow this structured path to progress smoothly:

DKodeTree 195
Roots 25Beginner
Trunk 35Beginner to Intermediate
Branches 35Intermediate
Crown 45Intermediate to Advanced
Canopy 45Advanced

Things to keep in mind:

  • Don't rush ahead: Complete each level before jumping to the next.
  • Revisit problems you struggled with: Use the "Mark for Review" status feature on the practice page to build your personal revision list.
  • Focus on pattern recognition, not memorization: Use the "Show Patterns" button on the practice page to see the key pattern for each problem. Every problem is added for a specific reason.
Series Solutions

Simulate Real Interviews

Ready for the next level? Practice core patterns and their follow-up variations with Series Solutions. These small sets simulate real-world interview follow-ups, helping you build the flexible logic needed to handle evolving problems.

Strong Basics + Consistency + Pattern Revision = Better interviews. Simple as that.

There are many great roadmaps out there that offer flexibility and a broad view of the landscape. But I wanted to create one that follows a clear, step-by-step sequence, so it’s easier for newcomers to start without feeling overwhelmed.

This roadmap is designed to remove the guesswork. It outlines the core problem-solving categories, organized by proficiency level, and its linear structure helps reduce decision fatigue and keep your learning focused.

The path is mapped → Now it’s your turn to pair it with consistent effort. Consistent practice across all areas is the secret ingredient!

Basic

EasyMedium
Hashing
Prefix Computations
Stack
Queue
Two Pointers
Binary Search
Sliding Window
Sorting
Linked List
Trees
Binary Trees
Binary Search Trees
N-ary Trees
Heap / Priority Queue
Backtracking
Graphs
Graph Traversal
Dynamic Programming
1D Dynamic Programming
Computational Patterns
Math

Intermediate

EasyMediumHard
Hashing
Prefix Computations
Stack
Queue
Two Pointers
Binary Search
Sliding Window
Sorting
Linked List
Trees
Binary Trees
Binary Search Trees
N-ary Trees
Heap / Priority Queue
Backtracking
Graphs
Graph Traversal
Shortest Paths in Graphs
Dynamic Programming
1D Dynamic Programming
Greedy
Intervals
Computational Patterns
Math
Grid & Matrix Simulation
Bit Manipulation
Design
Hashing
Prefix Computations
Stack
Queue
Two Pointers
Binary Search
Sliding Window
Sorting
Linked List
Trees
Binary Trees
Binary Search Trees
N-ary Trees
Heap / Priority Queue
Backtracking
Graphs
Graph Traversal
Shortest Paths in Graphs
Graph Structure & Connectivity
Dynamic Programming
1D Dynamic Programming
2D/3D Dynamic Programming
Greedy
Intervals
Trie
Computational Patterns
Math
Grid & Matrix Simulation
Bit Manipulation
Design

Keep Practicing!

They say it takes 21 days to build a habit. Let today be your Day One. Good luck!