Hands-On Data Structures and Algorithms with C++

To write efficient, scalable software, you must understand how data is organized and processed behind the scenes. This text-based course guides you through the core principles of data structures and algorithms, helping you transition from writing basic code to crafting optimized solutions. You will start with foundational computer science theory, analyzing how algorithms perform before moving into memory management and pointer manipulation in C++. Through clear written explanations and step-by-step code walkthroughs, you will learn to implement classic data structures from scratch and understand when to use standard library alternatives. What you'll learn: - Understand algorithmic complexity using Big O notation to analyze runtime and memory usage - Master recursion and backtracking techniques to solve complex, nested programming problems - Build custom linear structures including dynamic arrays, linked lists, stacks, and queues - Implement non-linear structures such as binary trees, AVL trees, and graphs from scratch - Apply modern C++ memory management principles, including smart pointers, to prevent memory leaks - Explore hashing techniques and collision resolution strategies for fast data retrieval The course begins with fundamental analysis tools and basic programming concepts before systematically building your knowledge from simple linear structures to complex hierarchical data representations. Each concept is paired with detailed written code explanations to show you exactly how the memory behaves during execution. This course is designed for beginner to intermediate programmers who have a basic grasp of C++ syntax and want to build a strong computer science foundation. No prior knowledge of data structures or algorithms is required. Start reading today to level up your problem-solving skills and write highly optimized C++ code.