By DotNetTricks

Best DSA Course | Master Data Structures and Algorithms

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Google Reviews

★ 4.7/5

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Course Preview

30 Sessions

Live Classes

122 Videos

Video Course

35 Notes

Quick Notes

81 Labs

Hands-on Labs

10 Tests

Skill Tests

Data Structures and Algorithms Course Overview

The Data Structures and Algorithms Course is intended for individuals with an interest in software engineering who wish to advance their careers by landing an interview with one of the most prestigious firms in the world. So that you are ready for these important interviews, this program will teach you everything from problem-solving techniques to coding. Get hands-on practice by solving 100+ data structures and algorithms problems. You will begin the course by learning to solve problems related to each data structure and algorithm. Prepare for the top product-based companies like Meta, Microsoft, Amazon, Adobe, Netflix and Google.

DSA Course objectives

Participants in this training will learn data structures and algorithms and at the completion of this course, attendees will be able to:

Identify techniques to design algorithms and measure their efficiency.
Sort data by using bubble sort, selection sort, insertion sort, shell sort, quick sort, and merge sort.
Search data by using linear search and binary search techniques.
Store and search data using hashing.
Solve problems using arrays, lists, linked lists, queues, and stacks.
Solve problems using non-leaner data structures like trees, and graphs.

Outcomes of the Training

Knowledge of implementing backtracking and dynamic programming
Understanding of hash function applications
Potential Career Boost in the Technical World
Gain a competitive edge over other candidates
Personalized Career Coaching and Goal Setting
Guaranteed salary hike of 40-60%

Why Learn Data Structures and Algorithms in 2025?

DSA is a fundamental skill for careers in software development, data science, Machine learning, and many more. These stats back the statement.

Strong Foundation for Programming: DSA is the bedrock of computer science. Understanding how data is organized (data structures) and manipulated (algorithms) empowers you to solve problems efficiently.
Problem-Solving Prowess: 95% of coding interview questions at FAANG companies involve DSA concepts, highlighting its importance for systematic problem-solving.
Benefits Across Programming Domains: Whether you're developing web applications, mobile apps, machine learning models, or data analysis tools, a strong understanding of DSA is beneficial.
Interview Preparation: DSA is a key focus in 90% of technical interviews, including roles at Google, Microsoft, and Amazon.
Career Advancement: Software Engineers proficient in DSA earn 20% higher salaries compared to peers with no DSA expertise.
Adaptability in a Changing Landscape: The programming landscape constantly evolves, but the core principles of DSA remain relevant allowing you to adapt and learn new programming languages more easily.

Why Learn Data Structures and Algorithms?

Data Structures and Algorithms Career Scope

Data Scientist

Data Architect

System Design Engineer

Data Engineer

Algorithm Engineer

₹14 LPA

Avg package

30–40%

Avg hike

3,200+

Transitions

80%

Demand

Annual Salaries (₹)

₹27 LPA

Avg package

40–50%

Avg hike

3,200+

Transitions

75%

Demand

Annual Salaries (₹)

₹25 LPA

Avg package

50%

Avg hike

3,200+

Transitions

85%

Demand

Annual Salaries (₹)

₹16 LPA

Avg package

40–60%

Avg hike

3,200+

Transitions

82%

Demand

Annual Salaries (₹)

₹20 LPA

Avg package

50%

Avg hike

3,200+

Transitions

85%

Demand

Annual Salaries (₹)

DSA Tools and Technologies Covered

Java

Logic Building

Code Debugging

Arrays

Big-O

Complexity Analysis

Linked List

Stack

Queue

Tree

Graph

VS Code IDE

GitHub

Data Structures and Algorithms Course Key Features

5 Weeks of Intensive Live Training
Learn from SDEs in Product Based Companies
Learn to implement DSA

Career Coaching
Resume & Portfolio Building
Job Assistance

Data Structures and Algorithms Course Eligibility

Pre-requisites

Prerequisites for enrolling in the Data Structures and Algorithms (DSA) course include a solid understanding of core Java and a background in computer science.

Who can Join the DSA Course?

Students in college, recent graduates, and working professionals who are preparing for SDE interviews with prestigious organizations like Microsoft, Amazon, Adobe, and other top product-based corporations should learn data structures and algorithms courses.

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Course Curriculum

DSA Foundation

Data Structures

Introduction to Data Structure
Types of Data Structure
Abstract Data Type

Complexity Analysis

Complexity Analysis
Time complexity
Space complexity
Big O Notation
Iteration
Recursion
Exercises and Summary

Arrays and Strings

Arrays
Arrays Types
Strings
Iterations
Exercises and Summary

Sorting Algorithms

Bubble Sort
Insertion Sort
Selection Sort
Quick Sort
Merge Sort
Heap Sort
Count Sort
Bucket Sort
Exercises and Summary

Searching Algorithms

Introduction
Linear Search and its Implementation
Binary Search and its Implementation
Ternary Search and its Implementation
Jump Search and its Implementation
Exponential Search and its Implementation
Exercises and Summary

String Algorithms

Introduction
Count Vowels
Reverse a String
Reverse Words
Rotations
Remove Duplicates
Most Repeated Char
Sentence Capitalization
Exercises and Summary

Lists

Linked List
Singly Linked List
Doubly Linked List
Circular Linked List
Exercises and Summary

Stacks

Introduction
What are stacks
Working with Stacks
Building Stack using an Array
Exercises and Summary

Queues

What are queues
Working with Queues
Building Queues using an Array
Implementing Queues using a Stack
Priority Queues with different approaches
Exercises and Summary

Hash

What are Hash Tables
Working with Hash Tables
Hash Functions
Collision and Chaining
Building a Hash Table
Exercises and Summary

DSA Advanced

Binary Trees

What are Trees
Populating a Binary Tree
Building a Binary Tree
Traversing Trees
Working with Recursion
Depth First Traversals
Depth and Height of Nodes
Minimum values in a Tree
Level Order Traversal
Exercises and Summary

AVL Trees

Introduction
Balanced and Unbalanced Trees
Implementing Rotations
Building AVL Trees
Exercises and Summary

Heaps

What are Heaps
Working with Heaps
Building and Implementation Heaps
Heap Sort and its Implementation
Implementing Priority Queues
Working with Heapify
Exercises and Summary

Tries

What are the Tries?
Populating a Trie?
Implementation Tries with Hash Table
Abstraction and Traversal
Exercises and Summary

Graphs

What are Graphs
Adjacency Matrix and Adjacency List
Building Graphs
Adding Nodes and Edges
Removing Nodes and Edges
Traversal Algorithms
Depth-First Traversal
Breadth-First Traversal
Topological Sorting
Cycle Detection using Directed Graphs
Exercise and Summary

Undirected Graphs

Introduction
Weighted Graphs
Dijkstra’s Shortest Path Algorithm
Shortest Path Algorithm
Cycle Detection using Undirected Graphs
Minimum Spanning Tree
Prim’s Algorithm
Exercises and Summary

Greedy Algorithms

Greedy Algorithms
The strategies of Greedy Algorithms
Applications of Greedy Algorithms
Exercises and Summary

Divide and Conquer

Divide and Conquer Techniques
Master theorem Applications
Sliding Window problems
Merge Intervals problems
Exercises and Summary

Backtracking

Backtracking
Brute Force Approach
N Queens Problem
KMP
Exercises and Summary

Dynamic Programming

Dynamic Programming
Approaches of Dynamic Programming
Top-down approach
Bottom-up approach
Pattern matching algorithm
Exercises and Summary

DOWNLOAD DETAILED CURRICULUM

DSA and Big O

Data Structure Introduction

Preview 0h 04m 32s

Non-Linear Data Structure

0h 09m 25s

Asymptotic analysis

0h 14m 31s

Asymptotic Explanation

0h 20m 23s

Array

Array Introduction

0h 09m 58s

Array Traversal

0h 10m 46s

Array insert data

0h 06m 21s

Array Bound Checking

0h 16m 52s

Array Insertion

0h 12m 35s

Deletion in Array

0h 07m 38s

2D array

0h 13m 47s

Array List Integer

0h 20m 47s

Array Questions

Array List String

0h 18m 17s

Storing Heterogeneous Element in array

0h 13m 20s

Array Question1

0h 41m 40s

Array Question2

0h 18m 48s

Sum Leet code

0h 19m 24s

buy and sell Stock leetcode

0h 10m 34s

Product of Array Except Self

0h 16m 56s

Container With Most Water

0h 19m 45s

Spiral Matrix

0h 30m 10s

Sudoku valid

0h 29m 36s

String

Preview 0h 01m 00s

String literals

0h 09m 15s

Immutable String

0h 05m 33s

String Methods

0h 21m 33s

StringBuilder vs String Buffer

0h 04m 42s

String Builder and Buffer example

0h 11m 29s

Valid Palindrome

0h 08m 05s

Valid Anagram

0h 15m 23s

Longest Substring Without Repeating Characters

0h 17m 22s

Find All Anagrams in a String

0h 31m 07s

Largest Number

0h 19m 26s

Largest Number 1

0h 09m 06s

Linear Search

Linear search1

Preview 0h 01m 42s

Linear Search Implementation

0h 08m 04s

Linear Search Questions

0h 25m 56s

Binary Search

0h 01m 34s

Binary Search implementation

0h 12m 19s

First and Last Occurence

0h 23m 33s

Arrays Searching

Search in Rotated Sorted array

0h 19m 31s

Search in rotated Sorted Array

0h 10m 39s

Find Minimum in Rotated Sorted Array

0h 04m 59s

Bubble, Selection and Insertion Sort

Bubble Sort

0h 01m 28s

Bubble Sort Implementation

0h 07m 33s

Selection Sort

0h 02m 05s

Selection Sort Implementation

0h 07m 15s

Insertion Sort

0h 01m 06s

Insertion Sort implementation

0h 10m 18s

Merge, Quick and Counting Sort

Merge Sort

0h 09m 58s

Merge Sort Implementation

0h 20m 22s

Quick Sort

0h 08m 51s

Quick Sort Implementation

0h 08m 51s

Counting Sort

0h 02m 46s

Counting Sort Implementation

0h 17m 57s

Bucket, Find Kth Element and Find Pages

Bucket Sot

0h 01m 03s

Bucket Sort Implementation

0h 15m 47s

FindKthElement

0h 19m 26s

Kth largest element

0h 22m 27s

Find Pages

0h 09m 33s

Find Pages PART 2

0h 20m 01s

Theif problem

0h 13m 19s

Minimum swaps

0h 15m 06s

Hashing

Hashing Introduction

Preview 0h 02m 35s

Hasing Function

0h 17m 35s

Hash map or Hash table

0h 18m 34s

Phonebook

Phonebook 1

0h 19m 01s

Phonebook 2

0h 02m 26s

Phonebook by HashMap

0h 13m 43s

HashMap different methods

0h 21m 13s

Symmetric pair Example

0h 14m 27s

First Unique Character

0h 13m 51s

Hash Set

HashSet Example

0h 12m 31s

Contiguous Integers in array

0h 16m 38s

Pair with given Sum

0h 07m 40s

Itinary fromticket

0h 30m 59s

Match Locks and Keys

0h 12m 34s

Stack

0h 03m 38s

Stack Implementation by library

0h 14m 58s

Stack Implementation using Array

0h 23m 16s

Stack Implementation using LinkedList

0h 22m 09s

Valid Parentheses

0h 16m 36s

Simplify Path 1

0h 12m 27s

Simplify path 2

0h 09m 27s

Evaluate Reverse Polish Notation

0h 25m 12s

Trapping Rainwater

0h 24m 04s

Longest valid Parentheses

0h 24m 13s

Basic Calculator

0h 26m 05s

Queue

Introduction to Queue

Preview 0h 04m 49s

Queue Implementation

0h 13m 16s

Queue Implementation user defined function

0h 28m 12s

Implement Stack using Queues

0h 25m 32s

Implement Queue using Stack

0h 21m 23s

First Unique Character in a String

0h 26m 01s

First Unique Character in a String

0h 26m 01s

Reveal Cards in Increasing Order

0h 19m 32s

Find the Winner of the Circular Game

0h 17m 23s

Linked List

0h 05m 25s

Singly LinkedList

0h 12m 51s

LinkedList Library

0h 19m 01s

Singly LinkedList Implementation

1h 10m 14s

Doubly LinkedList

0h 05m 30s

Doubly linkedList Implementation

0h 54m 15s

Circular LinkedList

0h 02m 27s

Circular LinkedList 1

0h 02m 58s

Circular LinkedList implementation

0h 51m 31s

Linked List Cycle

0h 10m 34s

Linked List Cycle II

0h 21m 03s

Reverse Linked List

Happy Numbers

0h 15m 50s

Middle of the Linked List

0h 07m 10s

Reverse Linked List

0h 13m 33s

Reverse Linked List II

0h 28m 35s

Reverse Nodes in k-Group

0h 23m 33s

Tree and Binary Tree

Introduction to Tree

0h 23m 00s

Binary Tree Traversal Whiteboard

0h 55m 45s

Traversal DFS

0h 38m 15s

Tree Traversal BFS

0h 16m 01s

Max Min Search SumofLeafNodes

0h 26m 02s

White Board Explanation of Max,Min ,SumOfLeafNodes

0h 12m 14s

Mirror a Tree (Code)

0h 19m 36s

Spiral level Order traversal 1

0h 30m 50s

Spiral level Order traversal 2

0h 01m 33s