Data Structures and Algorithms in C

Efficient software relies on a deep understanding of how data is organized and processed. Mastering these concepts allows you to write code that is not only functional but also optimized for speed and memory performance. In this course, you will transition from basic programming to developing sophisticated software by exploring the fundamental building blocks of computer science. You will learn how to evaluate code performance and choose the right tools for any computational challenge, focusing on the logic that powers modern applications. What you'll learn: - Analyze algorithm efficiency using Big O notation and time complexity - Implement linear data structures including linked lists, stacks, and queues - Master recursive thinking to solve complex hierarchical problems - Construct and traverse non-linear structures like binary search trees and heaps - Apply essential sorting and searching algorithms to optimize data retrieval - Practice manual memory management and pointer logic for high-performance C programming - Understand hashing techniques and collision resolution for fast data access The course begins with essential terminology and the mathematical foundations of algorithm analysis. You will then progress through written explanations and code examples that demonstrate how to build each structure from scratch, ensuring you understand the underlying logic before moving to practical application. This course is designed for beginners who have a basic grasp of C syntax and are ready to deepen their problem-solving skills. No prior experience with data structures or algorithms is required. Start building more efficient programs through clear, written logic and structured code implementation.