Coding Interview Learning Path
A structured path to master data structures and algorithms for technical interviews.
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. |