This foundational course introduces the core concepts of programming and problem-solving using Data Structures and Algorithms. It is designed for beginners who want to understand how data is organized, processed, and optimized in computer science.

The course begins with a clear introduction to data structures and abstract data types, explaining how different structures are used to represent and manage data efficiently. You will then learn the basics of Big-O notation, which is essential for analyzing the performance and efficiency of algorithms.

Next, the course covers static and dynamic arrays, including how they work in memory and how dynamic arrays resize internally. You will also explore linked lists, including singly and doubly linked lists, and understand how they differ from arrays in structure and performance.

The course continues with stacks, a fundamental data structure used for managing data in a last-in, first-out (LIFO) order. Practical code examples help you understand how these structures are implemented.

By the end of this course, you will have a strong foundation in core data structures and algorithmic thinking, preparing you for more advanced topics in prog