Algorithms and Data Structures for Problem Solving

Building reliable software starts with understanding how to solve problems efficiently without reinventing established solutions. This text-based course introduces core algorithms and data structures, giving you the foundation needed to tackle complex programming tasks with confidence. You will begin with essential terminology, foundational concepts, and Big O notation for measuring code performance. Through detailed written explanations and clear code snippets, you will learn how standard algorithms work and when to apply them in modern software development. What you'll learn: - Understand foundational algorithmic concepts, core terminology, and problem-solving patterns - Analyze computational efficiency using time and space complexity analysis - Apply essential data structures including arrays, linked lists, stacks, queues, and hash tables - Implement standard searching, sorting, and traversal algorithms - Utilize recursive thinking and basic dynamic programming techniques - Write clear, efficient code following modern software practices. The content flows logically from basic definitions to structured algorithmic design techniques. This course is ideal for beginners and self-taught developers looking to build a solid computer science foundation, requiring no previous experience with algorithms. Start reading today to enhance your analytical skills and write smarter code.