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# Best DSA Course | Master Data Structures and Algorithms

Live Online Course

Live Classes

Video Course

Quick Notes

Hands-on Labs

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 MetaMicrosoft, 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:

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

### Outcomes of the Training

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

## Why Learn Data Structures and Algorithms in 2024?

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

1. 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.
2. Problem-Solving Prowess: Learning DSA equips you with a systematic approach to problem-solving.
3. 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.
4. Interview Preparation: Many tech companies, including top-tier tech giants, continue to prioritize data structures and algorithms in their technical interviews.
5. Career Advancement: Proficiency in DSA is highly valued in the tech industry and can lead to career advancement opportunities in software engineering, data science, system architecture, technical leadership, and more.
6. 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.

## Data Structures and Algorithms Career Scope

DSA skilled is employed by the world's leading product based companies. Discover the salary and skills to become SDE.

1. Software Engineering: As a software engineer, proficiency in DSA is crucial for designing efficient algorithms, implementing scalable data structures, and optimizing code for performance and memory usage.
2. Data Science and Analytics: Data scientists and analysts use algorithms and data structures to perform tasks such as data cleaning, feature extraction, statistical analysis, machine learning, and predictive modeling.
3. Machine Learning and Artificial Intelligence: DSA skills are fundamental for building machine learning models and artificial intelligence systems.
4. System Design and Architecture: System architects and engineers use algorithms and data structures to optimize system performance, manage resources efficiently, and ensure fault tolerance and high availability.
5. Competitive Programming: Proficiency in DSA is essential for competitive programmers to solve problems efficiently and achieve optimal solutions within the given constraints.

## DSA Tools and Technologies Covered

Java
Logic Building
Code Debugging
Arrays
Big-O
Complexity Analysis
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.

## Included in this Data Structures and Algorithms Training

•   Live Sessions30 Classes
•   Video Course 122 Videos
•   Quick Notes 35 Notes
•   Labs 81 labs
•   Skill Tests 9 Tests

#### 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

• 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

#### 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
• Building Graphs
• Removing Nodes and Edges
• Traversal Algorithms
• Depth-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
##### Quick NotesNotes (35)

Data Structures & Algorithms

00:05:00

Big O in Data Structure

00:06:00

Array in Data Structures

00:07:00

String in Data Structure

00:02:00

Hashing in Data Structure

00:04:00

HashMap in Data Structure

00:01:00

Hash Table in Data Structure

00:01:00

HashSet in Data Structure

00:01:00

Linear Search in Data Structure

00:02:00

Binary Search in Data Structure

00:02:00

Bubble Sort in Data Structure

00:03:00

Selection Sort in Data Structure

00:02:00

Insertion Sort in Data Structure

00:03:00

Merge Sort in Data Structure

00:03:00

Quick Sort in Data Structure

00:02:00

Counting Sort in Data Structure

00:03:00

Bucket Sort in Data Structure

00:03:00

Heap Sort in Data Structure

00:04:00

Shell Sort in Data Structure

00:03:00

00:02:00

00:03:00

Singly Linked List in Data Structure

00:02:00

Doubly Linked List in Data Structure

00:03:00

Circular Linked List in Data Structure

00:02:00

Stack in Data Structure

00:04:00

Queue in Data Structure

00:04:00

Trees in Data Structure

00:06:00

Binary Tree in Data Structure

00:05:00

Binary Search Tree in Data Structure

00:03:00

AVL Tree in Data Structure

00:05:00

B Tree in Data Structure

00:04:00

K-Dimensional Tree in Data Structures

00:04:00

Spanning Tree in Data Structures

00:05:00

Segment Tree in Data Structures

00:02:00

Suffix Array and Suffix Tree in Data Structures

00:04:00

##### Hands-On LabsLabs(81)

Java: Count the frequency of an element in an Array

00:20:00

Java: Ceiling in a Sorted Array

00:25:00

Java: Construct a linked list from 2D matrix

00:30:00

Java: Reverse a Stack using Recursion

00:25:00

Java: Check whether a Binary Tree is BST or Not

00:30:00

Java: Two Sum

00:30:00

Java: Two Sum

00:30:00

Java: Deletion in a Binary Tree

00:40:00

Java: Find next right node of a given key

00:30:00

Java: Big-O-Binary Search Algorithm

00:15:00

Java: Traversing directory in Java using BFS

00:20:00

Java: Check if two nodes are cousins in a Binary Tree

00:50:00

Java: Contains Duplicate

00:20:00

Java: Merge Sorted Arrays

00:25:00

Java: Check whether the two Binary Search Trees are Identical or Not

00:35:00

Java: Delete consecutive same words in a sequence

00:25:00

Java: Convert given Binary Tree to Doubly Linked List in Linear Time

00:25:00

Java: Count 1’s in a Sorted Binary Array

00:20:00

Java: Find all triplets with zero sum

00:20:00

00:20:00

Java: Find a Fixed Point (Value equal to Index) in given Array

00:25:00

Java: Count Nodes in Circular Linked List

00:25:00

Java: Sort a Stack using another stack

00:30:00

Java: Find the Closest Element in Binary Search Tree

00:35:00

Java: Search Insert Position

00:25:00

Java: Longest Substring without Repeating Characters

00:30:00

Java: Convert Binary Tree to Doubly Linked List

00:50:00

Java: Minimum time required to rot all oranges

00:40:00

Java: Height of a Generic Tree from Parent Array

00:50:00

Java: Group Anagrams

00:35:00

00:30:00

Java: Insertion in a Binary Tree in Level Order

00:35:00

Java: Next Greater Element

00:30:00

Java: Delete all Prime Nodes from a Doubly Linked List

00:35:00

Java: Search an Element in a Sorted and Rotated Array

00:30:00

Java: Meeting Rooms

00:25:00

Java: Merge Two Sorted Arrays

00:20:00

Java: Two Elements whose Sum is Closest to Zero

00:30:00

Java: Deletion from a Circular Linked List

00:35:00

Java: Trapping rain water

00:30:00

Java: Find right Sibling of a binary tree with parent pointers

00:40:00

Java: Find Peak Element

00:30:00

Java: Valid Sudoku

00:40:00

Java: Find Distance between two nodes of a Binary Tree

00:50:00

Java: Binary Tree to Binary Search Tree Conversion

00:40:00

Java: Subarray Sum Equals K

00:25:00

Java: Search in Rotated Sorted Array

00:25:00

Java: Largest rectangle in histogram

00:25:00

Java: Remove Duplicates from a sorted Linked List

00:25:00

Java: Search in an Almost Sorted Array

00:25:00

Java: Minimum Number of Jumps to Reach End in Array

00:25:00

Java: Move all Zeros to the beginning of an array

00:25:00

Java: Median of Two Sorted Arrays of Different Sizes

00:30:00

Java: Reverse a Doubly Linked List

00:20:00

Java: 3 Sum

00:25:00

Java: Minimum Window Substring

00:30:00

Java: Design HashSet

00:25:00

Java: Search a 2D Matrix

00:20:00

Java: Traversal of Circular Linked List

00:25:00

Java: A Pair with a Given Sum in the Rotated Sorted Array

00:25:00

Java: Remove Duplicates from an Array

00:20:00

Java: Rotate a Matrix by 90 degrees

00:25:00

Java: Sort Elements by Frequency

00:30:00

Java: Find Minimum in Rotated Sorted Array

00:25:00

Java: Find Minimum in Rotated Sorted Array II

00:35:00

Java: Sort a Linked List of 0s, 1s and 2s

00:35:00

Java: Rotate an Array to the left

00:20:00

Java: Camel Case of a given Sentence

00:20:00

Java: Find Missing Elements of a Range

00:25:00

Java: Sort a Nearly Sorted (or K sorted) Array

00:20:00

Java: Count ways to increase LCS length of two Strings by one

00:25:00

Java: Minimum rotations required to get the same string

00:15:00

Java: Chocolate Distribution Problem

00:30:00

Java: Minimum Swaps required to convert binary tree to binary search tree

00:30:00

Java: Multiply Large Numbers represented as Strings

00:25:00

Java: Find Itinerary from a given list of tickets

00:25:00

Java: Count Distinct Occurrences as a Subsequence

00:30:00

Java: Sort a Matrix in all way Increasing Order

00:20:00

Java: Find the length of the largest subarray with 0 Sum

00:25:00

Java: Longest Increasing Consecutive Subsequence

00:25:00

Java: Find Whether an Array is a Subset of Another Array

00:20:00

##### Skill TestsTests (9)

Introduction to Data Structures

10 Questions

Array Data Structures

15 Questions

String Data Structures

15 Questions

Searching Algorithms

15 Questions

Sorting Algorithms

15 Questions

HashMap, HashSet & HashTable

10 Questions

Stack & Queue

15 Questions

10 Questions

Tree Data Structure

10 Questions

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## DSA Career & Certification

### Q1. What is the scope of DSA in the future?

The scope of DSA is extensive and diverse. From building the foundation of computer science, algorithm analysis, and computational complexity to emerging technologies such as blockchain, quantum computing, and machine learning, the scope continuously widens day by day.

### Q2. What jobs can you get after completing Data and Algorithms Course?

The following are some of the job roles you can pursue after completing a DSA course: 1. Software Engineer/Developer 2. Data Scientist 3. Machine Learning Engineer 4. Data Engineer 5. Technical Lead/Architect

### Q3. Can a fresher take a data structures and algorithms course?

Yes, a fresher or anyone new to the world of programming can take this DSA Course.

### Q4. Is this a live DSA course or pre-recorded videos?

There will be 30 live sessions and 77 recorded videos in this DSA Course.

### Q5. How will I execute practicals in this DSA course?

There will be 100 hands-on labs for executing practicals.

### Q6. Do you offer samples of data structures and algorithms course interview questions?

Yes, you will thorough guide to the DSA Interview Questions.

### Q7. Do you offer a certificate of completion?

Yes. our DSA certificate is valid and can be used for interviews. Additionally, the student can register for the Certification exam after completing this course.

### Q8. What justifies learning about data structures and algorithms?

Data structures and algorithms help developers to become more problem-solving capable. One can write the same code that is written previously in several lines in only a few using data structures and algorithms. They reduce the amount of time and memory needed for a task that the application needs to complete. Scalability and less coding are two more benefits.

### Q9. What are the different kinds of data structures used in programming?

Data structures come in two different varieties: linear data structures and non-linear data structures. Both are discussed in this DSA course.

### Q1. Can I Attend a Demo Session before Enrolment?

Yes, you can Attend a Demo Session before Enrolment in angular certification course. It gives you the opportunity to assess whether the training program aligns with your learning objectives. So, don't hesitate! Take advantage of this opportunity and attend a demo session before making your decision.

### Q2. Can I request for a support session if I need to better understand the topics?

Yes, of course you can request for a support session if you need to better understand the topics. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com

### Q3. Do you offer certificate of completion?

Yes. The certificate is valid and can be used for interviews. Additionally, the student can register for the .Net Certification exam after completion of this course.

### Q4. Who are your mentors?

All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by Dot Net Tricks to deliver interactive training to the participants.

### Q5. What If I miss my online training class?

All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

### Q6. Can I share my course with someone else?

In short, no. Check our licensing that you agree to by using Dot Net Tricks LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.

### Q7. Do you provide any course material or live session videos?

Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.