This beginner course introduces the fundamental concepts of data structures and algorithms in a simple and practical way. It is designed for learners who want to strengthen their programming foundation and prepare for technical interviews.

The course starts with Big O notation, which is used to analyze the efficiency of algorithms. You will learn different time complexities such as O(1), O(n), O(n²), O(log n), and O(2ⁿ), as well as space complexity, helping you understand how to evaluate code performance.

After that, the course focuses on arrays, explaining how they work, how data is stored, and how to perform common operations such as insertion, removal, and searching. It also introduces dynamic arrays and how they adjust in size.

The course then moves to linked lists, one of the most important data structures in computer science. You will learn what linked lists are, how they work internally, and how to implement basic operations such as adding elements at the beginning or end, searching for values, and removing nodes.

By the end of this course, learners will understand the core basics of data structures and algorithm efficiency and will be ready to move on to more advanced topics like trees, graphs, and sorting algorithms.