Data Structures & Algorithms (DSA) Learning Path
A comprehensive roadmap to build a solid DSA foundation for interviews and competitive programming.
| Phase |
Main Topic |
Content |
Goal |
| 1 |
Fundamentals |
- Choose a Programming Language
- Big O Notation
- Basic Mathematics
|
Build a solid foundation in a programming language and algorithm complexity analysis. |
| 2 |
Data Structures |
- Arrays & Strings
- Linked Lists
- Stacks & Queues
- Hashing
|
Understand and implement fundamental linear data structures. |
| 3 |
Algorithms |
- Sorting & Searching
- Recursion & Backtracking
- Two Pointers Technique
- Sliding Window Technique
|
Master core algorithms and problem-solving techniques. |
| 4 |
Advanced Topics |
- Trees & Graphs
- Greedy Algorithms
- Dynamic Programming (DP)
- Bit Manipulation
|
Solve more complex problems with advanced structures and algorithms. |
| 5 |
Interview Preparation |
- Top Interview Questions
- Practice by Company
- GFG's DSA Course
- Mock Interviews
|
Apply learned knowledge in a real interview setting. |