Coding Interview Learning Path

A structured path to master data structures and algorithms for technical interviews.

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Phase Main Topic Content & Tools Goal
1 Fundamentals
  • Choose a Programming Language
  • Big O Notation
  • Arrays & Strings
Understand time/space complexity and solve basic array problems.
2 Core Data Structures
  • Hash Table
  • Linked List
  • Stack & Queue
Implement and use common linear data structures.
3 Trees & Graphs
  • Trees (Especially Binary Trees)
  • Binary Search Tree (BST)
  • Tries (Prefix Trees)
  • Graphs
Solve traversal (BFS, DFS) and pathfinding problems.
4 Algorithmic Techniques
  • Two Pointers
  • Sliding Window
  • Recursion & Backtracking
  • Binary Search
Recognize and apply common problem-solving patterns.
5 Advanced Algorithms
  • Heap / Priority Queue
  • Dynamic Programming (DP)
  • Greedy Algorithms
Tackle complex optimization and combination problems.
6 Special Topics
  • Bit Manipulation
  • Math & Geometry
  • Advanced Data Structures
Handle niche problems and demonstrate breadth of knowledge.
7 Practice Strategy
  • Practice by Pattern
  • Maintain Consistency
  • Mock Interviews
  • Review & Optimize
Build confidence and readiness for real interviews.