•Understand the fundamentals of Data Structures and Algorithms for efficient problem-solving

•Master Big O notation to analyze the time and space complexity of algorithms

•Implement and optimize essential data structures including arrays, linked lists, stacks, and queues

•Learn advanced data structures like trees, heaps, graphs, and tries with real-world applications

•Apply recursion, dynamic programming, and greedy algorithms to solve complex problems

•Master searching algorithms like binary search and various sorting techniques (Merge Sort, Quick Sort, etc.)

•Develop deep knowledge of tree and graph traversal methods including DFS and BFS

•Solve common coding interview problems using efficient data structures and algorithmic techniques

•Enhance problem-solving skills by implementing real-world DSA applications in coding challenges

•Prepare for technical interviews with hands-on coding exercises and optimization strategies