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DSA Tutorial
40 topics · Free · Certificate on completion
Master Data Structures and Algorithms for interviews and placements.
Your learning path
Study how data structures support operations, then analyse algorithm correctness and complexity. Connect each structure to a concrete problem rather than a definition alone.
Put the lessons into practice
Trace an algorithm on small and edge-case inputs. Explain the invariant, count the important operations, and compare time and space costs before choosing an implementation.
What you'll learn
01.DSA Introduction02.Time Complexity03.Space Complexity04.Arrays05.Common Array Problems06.Two Pointers07.Sliding Window08.Prefix Sum09.Strings10.String Algorithms11.Hashing and Hash Tables12.Recursion13.Linked Lists14.Linked List Problems15.Stacks16.Monotonic Stack17.Queues18.Heaps and Priority Queues19.Trees20.Tree Traversals21.Binary Search Trees22.Balanced Trees23.Tries24.Graphs25.Breadth-First Search26.Depth-First Search27.Topological Sort28.Shortest Path Algorithms29.Minimum Spanning Tree30.Union-Find (Disjoint Set)31.Sorting Basics32.Merge Sort33.Quick Sort34.Binary Search35.Binary Search on the Answer36.Greedy Algorithms37.Dynamic Programming38.Backtracking39.Bit Manipulation40.DSA Interview Strategy