Data Structures and Algorithms in C++ for Coding Interviews

Writing efficient, optimized code requires a deep understanding of how data is stored and manipulated. This course guides you from absolute DSA basics to implementing core structures and solving algorithmic challenges in C++ using safe, modern coding standards. You will learn to analyze performance, build custom data structures from scratch, and leverage the C++ Standard Template Library for optimal results. What you'll learn: 1. Understand foundational computer science concepts, big-O notation, and memory layout. 2. Implement custom linked lists, stacks, and queues using modern C++ memory management like smart pointers. 3. Master essential algorithms for sorting, searching, and traversing complex data arrangements. 4. Apply standard library containers such as vectors, lists, and deques to solve real-world problems. 5. Analyze the time and space complexity of your code to optimize performance. 6. Practice solving common coding interview patterns through step-by-step written walkthroughs. You will start with core theoretical principles before writing custom implementations in C++ and exploring standard library alternatives. Each section includes clear code explanations and written exercises to solidify your understanding. This course is designed for beginners who know basic C++ syntax and want to build a strong foundation in computer science and technical interview preparation. No prior algorithm experience is required. Start reading today to write faster, cleaner, and more efficient C++ code.