Golang Algorithms and Data Structures for Technical Interviews

Writing efficient, scalable software requires a solid understanding of how data is organized and processed. This text-based course helps you master fundamental computer science concepts using the clean, modern syntax of Go. You will transition from writing basic scripts to designing highly optimized Go applications. By reading structured explanations and studying production-ready Go code snippets, you will learn how to choose the right data structures and algorithms to solve complex computational problems efficiently. What you'll learn: - Understand Big O notation to analyze and optimize the time and space complexity of your Go code. - Implement foundational data structures like linked lists, stacks, queues, trees, and graphs from scratch. - Apply modern Go features, including generics, to build reusable and type-safe data structures. - Master core algorithms for searching, sorting, graph traversal, and dynamic programming. - Practice solving common technical interview problems with clean, idiomatic Go implementations. - Write unit tests using Go's native testing package to verify the correctness of your algorithms. The course starts with essential terminology and complexity analysis before moving step-by-step through linear structures, non-linear structures, and advanced algorithmic paradigms. Each concept is reinforced with clear written explanations and practical Go code examples designed to build your problem-solving intuition. This course is designed for beginner developers, self-taught programmers, and computer science students who have a basic grasp of Go syntax and want to build a strong algorithmic foundation for real-world projects and technical interviews. Start reading today to write faster, more efficient Go code and elevate your programming career.