This course provides a complete guide to data structures and algorithm patterns that are commonly used in coding interviews and LeetCode-style problem solving. It is designed to help learners build strong problem-solving skills and understand how to approach real technical interview questions.

The course starts by introducing fundamental data structures such as arrays, strings, sets, hashmaps, and heaps. It explains how each structure works and when to use it in real programming scenarios.

It also covers important algorithmic concepts like Big O notation, helping learners understand time and space complexity and how to evaluate code efficiency.

A major focus of the course is on essential interview patterns such as two pointers, sliding window, binary search, breadth-first search (BFS), depth-first search (DFS), and backtracking. Each pattern is explained with clear examples and practice problems to reinforce understanding.

The course also explores graph and tree traversal techniques, showing how BFS and DFS are applied in different problem types.

By the end of this course, learners will be able to recognize common coding patterns, choose the right data structure for each problem, and solve interview questions more efficiently and confidently.