Foundations of Data Structures and Algorithms

Every efficient software application relies on a solid understanding of how data is organized and processed behind the scenes. If you want to write cleaner, faster code and prepare for technical interviews, mastering data structures and algorithms is your essential first step. This text-based course guides you from absolute beginner to a confident problem solver, teaching you how to analyze code performance, select the right data structures for any task, and implement classic algorithms using clear, modern code examples. What you'll learn: Understand foundational computer science terminology and basic computational thinking; Analyze code efficiency using Big O notation for time and space complexity; Implement core linear data structures including arrays, linked lists, stacks, and queues; Explore non-linear structures such as trees and graphs and understand their use cases; Master essential searching and sorting algorithms with step-by-step code walkthroughs; Apply modern coding best practices, including type hints, to write clean and readable algorithm implementations. The course starts with foundational definitions and complexity analysis before moving into step-by-step written implementations of key structures and algorithms, concluding with practical problem-solving strategies. Designed for beginner programmers and self-taught developers looking to build a strong computer science foundation, this course requires no prior algorithm experience. Start reading today to unlock the core principles of efficient software development.