This course teaches the fundamentals of programming problem-solving using Data Structures and Algorithms with C++. It is designed for beginners and intermediate learners who want to understand how efficient algorithms and data structures are built and used in real applications.

The course starts with the core foundations, including Big O notation, recursion, and time complexity analysis. These concepts help you measure how fast and efficient your code is when handling different input sizes.

Next, you will learn essential data structures such as stacks, queues, and lists, which are used to organize and process data in different ways. The course also covers hash tables, which allow fast data lookup, and priority queues for managing tasks based on importance.

You will then move into sorting algorithms, learning how data can be arranged efficiently using different techniques. Finally, the course explores tree data structures, which are widely used in searching, indexing, and hierarchical data systems.

By the end of this course, you will have a strong understanding of core DSA concepts in C++ and the ability to analyze and solve progra