📊 DSA Concepts: Getting Started

DSA Learning Path Comprehensive roadmap covering 25+ data structures and algorithms topics

Algorithm Complexity Guide Understanding time and space complexity across different algorithmic approaches

Master the fundamentals that power every software system - from basic sorting to advanced graph algorithms

This track covers core data structures and algorithms topics with practical examples, visual explanations, and extensive practice problems from LeetCode and CodeChef.

📚 Topics Roadmap (Simple to Advanced)

🎯 Foundation Level

Master the basics before moving to advanced concepts

🏫 School Basics - Fundamental programming concepts and basic algorithms
🔢 Math - Mathematical foundations for algorithmic thinking
🔤 Strings - String manipulation and pattern matching techniques
🔄 Sorting - Essential sorting algorithms and their applications
🗺️ Hashing - Hash tables, maps, and sets for O(1) operations

🔧 Core Techniques

Essential algorithmic patterns used in most problems

🎯 Two Pointers - Efficient array traversal techniques
🧾 Sliding Window - Optimizing subarray and substring problems
📈 Prefix Sum - Range query optimization techniques
Binary Search
Recursion
Kadane's Algorithm

Data structures

Advanced problem solving

Where to begin

Start with:

Then move to:

Then continue with:

Finally, cover advanced topics:

📚 Topics Roadmap (Simple to Advanced)​

🎯 Foundation Level​

🔧 Core Techniques​

Data structures​

Advanced problem solving​

Where to begin​