Algorithms and Data Structures: Core Concepts and Problem Solving

Understanding algorithms and data structures is essential for solving complex computational problems efficiently in modern software development. This introductory course helps you build a strong foundation in computational thinking, covering standard techniques alongside innovative problem-solving approaches. By working through structured written lessons, you will learn how to analyze code performance, select appropriate storage structures, and design efficient solutions for real-world tasks. What you'll learn: Understand core computer science terminology, algorithm classification, and performance analysis; Analyze time and space complexity using Big O notation to evaluate efficiency; Implement essential data structures including arrays, linked lists, stacks, queues, and hash tables; Apply classic searching and sorting algorithms to organize and retrieve data effectively; Explore non-standard and heuristic approaches for complex algorithmic challenges; Solve practical computational problems step-by-step through written coding exercises. The course starts with essential terminology and foundational definitions before guiding you through standard algorithms, data organization, and unconventional problem-solving strategies. Designed for absolute beginners and aspiring developers, this course requires no prior computer science background. Start reading today to enhance your algorithmic thinking and software design skills.