Foundations of Data Structures & Algorithms in C++

Ready to move beyond basic programming and write truly efficient, professional-level code? Understanding how to structure data and apply algorithms is the essential next step for any serious developer. This course provides a clear, text-based path to mastering these fundamental computer science principles. You will learn to analyze problems, select the appropriate data structure or algorithm for the task, and implement robust solutions in C++. By the end, you'll be able to reason about code performance and approach complex programming challenges with confidence. What you'll learn: - Implement fundamental data structures from scratch, including linked lists, stacks, queues, hash tables, and binary trees. - Master core sorting and searching algorithms, such as Bubble Sort, Merge Sort, Quicksort, and Binary Search. - Analyze the time and space complexity of your code using Big O notation to make performance-conscious decisions. - Apply modern C++ practices, including smart pointers for memory management, to write safer and more idiomatic code. - Understand recursive thinking and how to apply it to complex problems like tree traversals and backtracking. - Practice solving common algorithmic problems to solidify your understanding and prepare for technical questions. The curriculum starts with core concepts like complexity analysis before guiding you through the implementation of each major data structure and algorithm, complete with written explanations and practice exercises. This course is designed for beginners. No prior experience with data structures or algorithms is necessary, though a basic familiarity with C++ syntax is recommended to get the most out of the material. Start building your foundational computer science knowledge today.