This course provides a complete introduction to data structures and algorithms using C++ in a beginner-friendly and practical way. It is designed for learners who want to build a strong foundation in computer science and improve their problem-solving skills for programming interviews.
The course begins with core fundamentals such as Big O notation, recursion, and time complexity analysis, helping learners understand how to measure algorithm efficiency and performance.
It then covers essential data structures including stacks, queues, and linked lists, explaining how they work and how they are used in real programming problems.
You will also learn about hash tables and priority queues, which are important for efficient data storage and retrieval.
The course continues with sorting algorithms and their role in organizing data efficiently, followed by an introduction to trees and graph data structures.
Graph traversal techniques such as Breadth First Search (BFS) are also explained with practical examples.
In addition, the course includes real-world problem examples like shortest path-style challenges and algorithmic thinking exercises.
By the end of this course, learners will have a solid understanding of data structures and algorithms in C++, along with the ability to analyze complexity, choose the right data structure, and solve coding problems efficiently.
