Namste DSA – Data Structures & Algorithms From Zero to Hero

Namste DSA is a complete Data Structures & Algorithms course designed to take you from absolute beginner to confident problem solver. Learn DSA step by step through practical coding, visualizations, problem-solving techniques and interview-style questions. Every concept focuses on understanding the WHY and HOW behind the solution, optimizing your approach, analyzing Time & Space Complexity, and converting your solution into clean code. The course covers a comprehensive range of Data Structures and Algorithms including: FOUNDATIONS Programming Fundamentals, Functions, If-Else, Loops, Problem Solving, Time Complexity, Space Complexity, Big-O Notation and Code Optimization. DATA STRUCTURES Arrays, Strings, Linked Lists, Doubly Linked List, Circular Linked List, Stacks, Queues, Priority Queue, Deque, Hash Maps, Hash Sets, Binary Trees, Binary Search Trees, Heaps, Tries, Suffix Tree and Graphs. ALGORITHMS & PROBLEM-SOLVING Recursion, Backtracking, Searching Algorithms, Sorting Algorithms, Sliding Window, Two Pointers, Fast & Slow Pointers, Divide & Conquer, Greedy Algorithms, Dynamic Programming, Tabulation, Memoization and Bit Manipulation. SEARCHING & SORTING Linear Search, Binary Search, Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, Counting Sort, Radix Sort and Bucket Sort. TREES & GRAPHS Tree Traversals, BFS, DFS, Adjacency List, Adjacency Matrix, Topological Sort, Cycle Detection, Union-Find, Disjoint Sets, Dijkstra's Algorithm, Bellman-Ford, Floyd-Warshall, Minimum Spanning Tree, Prim's Algorithm and Kruskal's Algorithm. ADVANCED PROBLEM-SOLVING PATTERNS Kadane's Algorithm, Floyd's Cycle Detection, Dutch National Flag, KMP Algorithm, Rabin-Karp, LRU Cache, Top-K Elements, Subarrays, Subsets, Combinations and Permutations. DYNAMIC PROGRAMMING Fibonacci, Top-Down DP, Bottom-Up DP, Climbing Stairs, House Robber, Coin Change, Palindromic Substrings, Longest Palindromic Substring, Decode Ways, Maximum Subarray, Maximum Product Subarray, Word Break, Longest Increasing Subsequence, Partition Equal Subset Sum, Coin Change II and Unique Paths. The curriculum progresses from fundamentals to advanced topics including Backtracking, Greedy Algorithms, Dynamic Programming, Graphs, Tries, Advanced Searching & Sorting, Advanced DP & Arrays and Advanced Strings. You also get interview-focused problem solving, curated notes and cheat sheets, a company-wise DSA practice sheet, solution code support in JavaScript, C, C++, Java and Python, certificate, community access and lifetime course updates. Course Modules 1. Introduction 2. Warm Up 3. Time & Space Complexity 4. Arrays – Easy/Medium 5. Recursion – Easy/Medium 6. Searching & Sorting – Easy/Medium 7. Linked List – Easy/Medium 8. Strings – Easy/Medium 9. Stack and Queues 10. Binary Search Algorithm 11. Two Pointers & Sliding Window 12. Binary Tree 13. Binary Search Tree 14. Heap / Priority Queue 15. Hashing 16. Backtracking 17. Greedy Algorithm 18. Dynamic Programming 19. Graphs 20. Tries 21. Searching & Sorting – Advanced 22. DP and Arrays – Advanced 23. Strings – Advanced 24. Bonus