Data Structure Algorithm institute in Dwarka Mor

Data Structure Course Institute In Dwarka

Best Data Structure Algorithm Course Near you

Many things you would get to know under this course from us like : What is DSA? How does it work or mean and be effective for today’s dynamic environment? What are different Job Opportunities in this? How everything functions internally and how they are hosted. We’ll pay close attention and comprehend everything!

3-Months Course Duration

500+ Learners Trained

Guaranteed Placement

Guaranteed Certification

3-Months Course Duration

500+ Learners Trained

Guaranteed Placement

Guaranteed Certification

Course Curriculum

Introduction

Introduction to Data Structures and Algorithms
1. What are Data Structures?
2. What are Algorithms?
3. Importance of DSA in Problem Solving
4. Time and Space Complexity
5. Big O Notation
6. Big Omega and Big Theta Notations
7. Asymptotic Analysis

Arrays

Arrays
1. Introduction to Arrays
2. Operations on Arrays
3. Insertion, Deletion, and Traversal
4. Two-Pointer Technique
5. Sliding Window Technique
6. Hashing Basics
7. 1D and 2D Arrays
8. Common Problems and Solutions
9. Interview Questions on Arrays

Linked Lists

Linked Lists
1. Introduction to Linked Lists
2. Singly Linked List
3. Insertion, Deletion, and Traversal
4. Doubly Linked List
5. Circular Linked List
6. Operations on Linked Lists
7. Common Problems and Solutions
8. Interview Questions on Linked Lists

Stacks

Stacks
1. Introduction to Stacks
2. Stack Operations
3. Push, Pop, Peek
4. Stack Implementation
5. Applications of Stack
6. Expression Evaluation (Infix, Prefix, Postfix)
7. Balanced Parentheses
8. Common Problems and Solutions
9. Interview Questions on Stacks

Queues

Queues
1. Introduction to Queues
2. Queue Operations
3. Enqueue, Dequeue, Peek
4. Types of Queues
5. Circular Queue
6. Priority Queue
7. Deque (Double-Ended Queue)
8. Queue Implementation
9. Applications of Queue
10. Common Problems and Solutions
11. Interview Questions on Queues

Heaps

Heaps
1. Introduction to Heaps
2. Binary Heap
3. Min Heap and Max Heap
4. Heap Operations
5. Insertion, Deletion, Heapify
6. Priority Queue Implementation Using Heaps
7. Heap Sort
8. Common Problems and Solutions
10. Interview Questions on Heaps

Graphs

Graphs
1. Introduction to Graphs
2. Graph Representation
3. Adjacency Matrix
4. Adjacency List
5. Graph Traversal Techniques
6. Breadth-First Search (BFS)
7. Depth-First Search (DFS)
8. Minimum Spanning Tree
9. Kruskal’s Algorithm
10. Prim’s Algorithm
11. Shortest Path Algorithms
12. Dijkstra’s Algorithm
13. Bellman-Ford Algorithm
14. Common Problems and Solutions
15. Interview Questions on Graphs
16. Searching & Sorting Algorithms
17. Linear Search
18. Binary Search
19. Sorting Algorithms
20. Bubble Sort
21. Selection Sort
22. Insertion Sort
23. Merge Sort
24. Quick Sort
25. Heap Sort
26. Time Complexity Analysis
27. Common Problems and Solutions
28. Interview Questions on Searching & Sorting

Array

Array

String Problems

String Problems

Bit Manipulation Techniques

Bit Manipulation Techniques

 Dynamic Programming

What is Dynamic Programming
Memoization and Tabulation
DP Problems

 Sliding Window Problem

Sliding Window Problem

 Sorting & Searching

Sorting & Searching

 Binary Search

Binary Search

 Linked Lists

Singly
Doubly
Circular

 Stack

What is a Stack?
Stack Operations

 Queue

What is Queue?
Circular Queue

 Tree

Binary Tree
BST ( Binary Search Tree )
AVL Tree

 Priority Queue

Priority Queue

 Hashing

What is Hashing?
Need of Hashing
Hashing Problems

 Tries & Pattern Matching Problems

Tries & Pattern Matching Problems

 Graphs

Graph Algorithms
Graph Traversals – BFS & DFS

This course aims to give you the complete knowledge and practical skills of different key areas of computer science and programming, regardless of your level of experience. Whether you’re a beginner looking to build a strong foundation or an experienced programmer aiming to enhance your problem-solving and algorithmic skills, a data structures and algorithms course can provide you with valuable knowledge and skills applicable to various domains of computer science and software development.

Don’t miss this opportunity to become a proficient Data Structure and Algorithm developer. Enroll now and step on a journey towards creating powerful, dynamic web applications. You will get practical exercises and projects that let you put your knowledge to use. You will also have the opportunity to interact with our experienced instructor throughout.

Tools and Technologies covered

Get Certified and Grow your career

You will receive a certificate from ESS Institute for completing the Data structure course that will help you find the most relevant jobs like…

Computer Science and Software Development
Artificial Intelligence and Machine Learning Professionals
Startups and Entrepreneurs
Academic Researchers
Cybersecurity Experts

This course will teach you the following skills

By completing this course, you will develop or establish a solid foundation in the computer science field, which is important for further studies and career advancement.
You will be learning how to design and analyse different algorithms. This includes understanding time and space complexity and Big O notation.
You will gain insights into how data structures and algorithms are applied in real word scenarios.
It would be helpful in opening doors to job opportunities for you in the tech industry.

Job Opportunities

Computer Science and Software Development
Artificial Intelligence and Machine Learning Professionals
Startups and Entrepreneurs
Academic Researchers
Cybersecurity Experts
Gaming and Graphics Developers
Database Administrator and Big Data Engineers
Healthcare Data Analysts

Course for

Computer Science Students
Programming Enthusiasts
IT Professionals
Artificial Intelligence and Machine Learning Practitioners
Academic and Career Switchers

Minimum Eligibility

The specific requirements for a data structures and algorithms course can vary depending on the course level, and the intended audience. However, here are some common prerequisites and requirements you might encounter: Programming Knowledge, Mathematics Background, Computer Science Foundation, etc.

Enroll Now

Frequently Asked Questions

Look at the most common frequently asked questions of students in 2023-24

Why should I take a data structures and algorithms course?

Making a data structures and algorithms course offers several compelling reasons, making it a valuable investment in your education and career. Taking a data structures and algorithms course is a vital choice for someone interested in computer science, programming, or technology. It provides you with essential knowledge and skills, that will enhance your problem-solving abilities, and opens up a wide range of academic and career opportunities in the tech industry.

What career opportunities can this course open up?

Completing a data structures and algorithms course can open up a wide range of career opportunities in the technology and computer science fields. The versatility of this course’s knowledge means that it can be applied to various sectors and professions. It provides a strong problem-solving and analytical foundation that is highly sought after in the technology-driven job market. Different career paths and opportunities under this could be Software Developer/Engineer, Data Scientist/Data Analyst, Web Developer, Game Developer, Cybersecurity Specialist, Aerospace and Automotive Engineer, etc.

What programming languages are commonly used in these courses?

Common languages can include C++, Java, Python, SQL, C#, Ruby, Java Script, Haskel, R, Go(Golang), etc.