•70 modules•Computer Science

DSA Mastery Course

Data Structures and Algorithms is the part of programming that decides whether your code handles ten records or ten million. Learn Big O notation, arrays, linked lists, stacks, queues, hash tables, trees, heaps and graphs, then the techniques that solve real problems with them: two pointers, sliding windows, recursion, sorting, searching, greedy choices and dynamic programming. Every idea is explained in plain language and shown as runnable C# code.

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Beginner Level

Foundational concepts to get you started withDSA

Easy

What Are Data Structures and Algorithms

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Easy

How to Measure Algorithm Efficiency

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Easy

Big O Notation Explained

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Easy

Common Time Complexities with Examples

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Easy

Space Complexity

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Easy

Best, Average and Worst Case

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Easy

Arrays and Memory Layout

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Easy

Dynamic Arrays and Lists

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Easy

Two Dimensional Arrays and Matrices

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Easy

Array Traversal Patterns

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Easy

Singly Linked List

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Easy

Stack Data Structure

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Easy

Building a Stack from Scratch

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Easy

Queue Data Structure

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Easy

Hash Tables Explained

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Easy

Dictionary and HashSet in Practice

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Easy

Recursion Fundamentals

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Easy

Bubble Sort

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Easy

Selection Sort

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Easy

Insertion Sort

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Easy

Linear Search

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Easy

Binary Search

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Easy

Tree Terminology and Types

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Easy

Binary Trees

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Intermediate Level

Deep dive into core DSA concepts and patterns

Intermediate

Two Pointer Technique

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Intermediate

Sliding Window Technique

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Intermediate

Prefix Sums and Difference Arrays

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Intermediate

String Algorithms and Manipulation

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Intermediate

Doubly Linked List

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Intermediate

Circular Linked List

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Intermediate

Reversing a Linked List

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Intermediate

Fast and Slow Pointers

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Intermediate

Circular Queue and Deque

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Intermediate

Collision Handling

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Intermediate

Frequency Counting Patterns

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Intermediate

The Call Stack and Stack Overflow

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Intermediate

Divide and Conquer

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Intermediate

Merge Sort

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Intermediate

Quick Sort

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Intermediate

Choosing a Sorting Algorithm

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Intermediate

Tree Traversals

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Intermediate

Binary Search Trees

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Intermediate

Common Tree Problems

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Intermediate

Heaps Explained

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Intermediate

Priority Queues in C Sharp

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Intermediate

Graph Basics and Terminology

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Intermediate

Graph Representations

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Intermediate

Breadth First Search

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Intermediate

Depth First Search

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Intermediate

Maths for Problem Solving

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Intermediate

How to Approach a Coding Problem

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Intermediate

Choosing the Right Data Structure

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Advanced Level

Master advanced DSA patterns and modern features

Advance

Monotonic Stack

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Advance

Backtracking Basics

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Advance

Counting Sort and Radix Sort

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Advance

Binary Search on the Answer

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Advance

Searching Rotated and 2D Arrays

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Advance

Balanced Trees, AVL and Red Black

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Advance

Tries

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Advance

Heap Sort and Top K Problems

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Advance

Topological Sort

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Advance

Dijkstra Shortest Path

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Advance

Minimum Spanning Tree

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Advance

Union Find and Disjoint Sets

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Advance

Greedy Algorithms

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Advance

Introduction to Dynamic Programming

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Advance

Memoization and Tabulation

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Advance

Classic Dynamic Programming Problems

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Advance

Bit Manipulation

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Expert Level

High-performance and production-grade DSA expertise

Expert

Segment Trees and Fenwick Trees

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