Data Structures & Algorithms Roadmap

A step-by-step guide to mastering the fundamentals of computer science. Each topic will feature simple explanations, real-world examples, and code snippets.

The Foundation

Big O Notation

Understand how to measure algorithm efficiency.

Arrays & Strings

The most fundamental data structures.

Core Data Structures

Linked Lists

Dynamic data structures with nodes.

Stacks & Queues

Essential for managing data flow (LIFO & FIFO).

Hash Tables

Master key-value lookups with constant time complexity.

Non-Linear Structures

Trees

Explore binary search trees, tries, and heaps.

Graphs

Understand networks and relationships between data points.

Essential Algorithms

Sorting Algorithms

Learn Merge Sort, Quick Sort, and more.

Searching Algorithms

Master Binary Search and graph traversals (BFS, DFS).

Recursion

The art of solving problems with self-calling functions.

Advanced Algorithms

Dynamic Programming

Break down complex problems into simpler subproblems.

Greedy Algorithms

Make locally optimal choices at each stage.