Data Structures and Algorithms

Data Structures and Algorithms

DSA stands for Data Structures and Algorithms. Data structures manage how data is stored and accessed. Algorithms focus on processing this data. Examples of data structures are Array, Linked List, Tree and Heap, and examples of algorithms are Binary Search, Quick Sort and Merge Sort.

• Foundation for almost every software like GPS, \\\\\\Search Engines, AI ChatBots, Gaming Apps, Databases, Web Applications, etc
• Top Companies like Google, Microsoft, Amazon, Apple, Meta and many other heavily focus on DSA in interviews.
• Learning DSA boosts your problem-solving abilities and make you a stronger programmer.

Before beginning the DSA journey, it is recommended to learn at-least one programming language (C++, Java, Python, JavaScript or any other language of your choice).

Below are the recommended step by step topics to learn complete DSA.

Topic Wise Tutorials

• Logic Building
• Complexity Analysis
• Array
• Searching
• Sorting
• Hashing
• Two Pointer
• Window Sliding
• Prefix Sum
• Strings
• Recursion
• Matrix
• Linked List
• Stack
• Queue
• Deque
• Tree
• Heap
• Graph
• Greedy Algorithms
• Dynamic Programming
• Advanced Topics : Trie, Segment Tree, Red-Black Tree & Binary Indexed Tree
• Other Algorithms : Bitwise Algorithms, Backtracking, Divide and Conquer, Branch and Bound, Geometric & Randomized

Topic Wise Quizzes

• Logic Building
• Complexity Analysis
• Array
• Searching
• Sorting ‘
• Hashing
• Two Pointer
• Sliding Window
• Prefix Sum
• Strings
• Recursion
• Matrix/Grid.
• Linked List
• Stack
• Queue
• Deque
• Tree
• Heap
• Graph
• Greedy
• DP
• Other Algorithms : Bit Magic, Backtracking & Divide and Conquer