Data Structures and Algorithms

In this course, you'll explore the building blocks of efficient problem-solving in computer science. You'll begin by understanding what data structures and algorithms are, and why they are essential for writing fast, scalable software. What are Data Structures & Algorithms? Data structures organize and store data efficiently, while algorithms are step-by-step procedures to solve problems. Together, they form the foundation of writing performant, scalable software. With a solid grasp of these concepts, you'll be able to optimize code, make smart design decisions, and approach complex problems methodically. What you'll learn In this course, you'll discover how to measure performance using Big O notation, and explore concepts including time complexity and space complexity. From there, you'll cover core structures such as arrays, strings, maps, stacks, queues, linked lists, and trees—including binary trees and binary search trees. You'll also work with common techniques such as sorting, searching, and recursion, while tackling traversal strategies with Breadth-First Search (BFS) and Depth-First Search (DFS). Finally, you'll expand into graphs. By the end of the course, you will be equipped with the tools to approach coding challenges and real-world problems with confidence while being a stand-out tech interview candidate.