Data Structures and Algorithms: Computer Science Foundations

To write high-performance software, you must understand how data is organized and processed behind the scenes. This text-based course guides you through core computer science concepts, helping you transition from writing simple scripts to engineering optimized, scalable solutions. What you'll learn: Understand algorithmic complexity using Big O notation to evaluate code efficiency; Implement fundamental data structures including arrays, linked lists, stacks, and queues; Apply search and sort algorithms to solve real-world data processing challenges; Explore trees and graphs to represent complex hierarchical relationships; Practice writing clean, modern Python code with type hints for algorithm implementations. You will start with key terminology, basic concepts, and foundational definitions of time and space complexity before moving step-by-step through core structures, practical search and sort routines, and algorithmic problem-solving. This course is designed for self-taught developers, computer science students seeking a structured review, and beginners ready to level up their programming logic with no prior advanced math required. Begin building a solid foundation in computer science today.