Algorithms and Data Structures: Practical Problem Solving

Mastering foundational computer science algorithms is essential for writing efficient code and solving complex computational problems. This text-based course guides you from fundamental concepts to practical implementation, helping you analyze time and space complexity while choosing the right data structures for any task. What you will learn: Understand core terminology including Big-O notation, memory trade-offs, and algorithmic efficiency; Implement fundamental data structures such as arrays, linked lists, stacks, queues, and hash tables; Apply standard sorting, searching, and recursive techniques to structure data; Explore graph traversals and dynamic programming principles for practical problem solving; Practice optimizing code performance using efficient data collections. The curriculum begins with fundamental definitions and algorithmic complexity before advancing to step-by-step code walkthroughs and structured written exercises. This course is ideal for beginners and self-taught developers ready to build a strong algorithmic foundation without prerequisites. Start reading today to enhance your software engineering skills.