Foundations of Algorithms and Data Structures

Building performant software requires a solid grasp of how data is organized and processed. This course provides a clear, step-by-step entry point into fundamental computer science principles. You will transition from basic theory to understanding practical algorithmic problem-solving. Key learning outcomes include: Learn core terminology and analyze algorithm efficiency using Big O notation; Understand essential data structures such as arrays, linked lists, stacks, queues, and hash tables; Master foundational search and sort algorithms; Apply recursive logic and basic two-pointer techniques to common coding problems. The course starts with essential definitions and foundational principles before progressing through detailed textual explanations and structured code snippets. This course is ideal for beginner programmers and self-taught developers with no prior computer science background. Begin your journey toward writing faster and more efficient software today.