Foundations of Algorithms and Data Structures

Understanding how data is organized and processed is the foundation of writing efficient, scalable software. In this text-based course, you will transition from writing basic scripts to designing optimized solutions by mastering essential data structures and algorithms. You will learn to analyze code performance, select the right storage structures, and solve complex computational problems with confidence. What you'll learn: 1. Understand the fundamentals of Big O notation and how to analyze time and space complexity. 2. Implement core data structures including arrays, linked lists, stacks, and queues from scratch. 3. Master fundamental search and sort algorithms like binary search, quicksort, and merge sort. 4. Apply recursion to solve complex programming problems systematically. 5. Practice writing clean, modern code implementations and verifying them with basic testing concepts. The course begins with key terminology, foundational definitions, and complexity analysis before guiding you through step-by-step written implementations and practical problem-solving exercises. This course is designed for beginner programmers and computer science students looking to build a strong theoretical and practical foundation, with no prior algorithms experience required. Start reading today to write faster, more efficient code.