Data Structure & Algorithm Course

Live Instructor-Led Classes with Project-Based Learning in Data Structure & Algorithm Course

A Certified Member of  nasscom_rc  hysea_rc  shrm_rc
 

Course Highlights

Weekly Live Sessions

Doubt Clarification Sessions

Hands-on Coding Exercises

A Dedicated Success Coach

Masterclasses by Industry Experts

2-Year LMS access

Certificate of Accomplishment

Flexible EMI Options

Data Structure & Algorithm 
Course Overview

Are you ready to master the core concepts that form the foundation of software development and competitive programming?

Our Data Structures & Algorithms Course offers you a comprehensive, live instructor-led experience designed to transform you into an efficient problem solver. Over the course of 6 months, you’ll dive deep into the world of data structures (arrays, linked lists, trees, graphs, and more) and master algorithm design techniques (sorting, searching, dynamic programming, and graph algorithms). This course also includes hands-on coding practice to build problem-solving skills, which are crucial for excelling in technical interviews and real-world software challenges.

Additionally, you’ll gain insights into time and space complexity analysis, helping you to write optimized and scalable code. By the end of the program, you will be fully equipped to tackle complex technical problems and ready for coding interviews at top companies.

Contact our career counselor to learn more about your eligibility for this specialized course.

Career Services 
in a nutshell

Get ready for your dream job! Attend comprehensive industry readiness training with Career Services.

Learn workplace skills!

Your working style and behavior decide if you are a good cultural fit. Learn the right skills so you never feel out of place at work.

Sell your skills, and sell them well.

You are halfway there if you have a great resume and an optimized online presence. Work with our experts to build your professional profiles.

Attend mock interviews!

Get a grip on those pre-interview nerves. Test and practice your skills with mock interview sessions.

Data Structure & Algorithm 
Course Syllabus

An industry-aligned curriculum to make you productive from day one – we update the curriculum every month to make sure you learn the most in-demand skills.

Introduction
  1. Introduction to DSA
  2. Why Learn DSA?
  3. Prerequisites
  4. Python Lists
Sorting Algorithms
  1. Sorting
  2. Bubble Sort
  3. Selection Sort
  4. Insertion Sort
  5. Merge Sort
  6. Quick Sort
  7. Counting Sort
Search Algorithms
  1. Search Algorithms
  2. Linear Search
  3. Binary Search
Linked List
  1. Linked List
  2. Linked List Operations
  3. Examples: Linked List
Circular Linked List
  1. Introduction to Circular Linked List
  2. Circular Linked List Operations
  3. Examples: Circular Linked List
Doubly Linked List
  1. Introduction to Doubly Linked List
  2. Doubly Linked List Operations
  3. Examples: Doubly Linked List
Stacks and Queue
  1. Stack
  2. Queue
  3. Drawbacks of Linear Queues
  4. Circular Queue
  5. Double Ended Queue (Deque)
Hashing
  1. Introduction to Hashing
  2. Hashing Techniques
  3. Hash Collision
  4. Hash Collision Resolution
  5. Hash Functions8.6Additional Topics
String Matching Algorithms
  1. Introduction
  2. Brute Force Method
  3. Rabin-Karp String Matching Algorithm
  4. Knuth-Morris-Pratt (KMP) Algorithm
Tree Data Structure
  1. Non-linear Data Structure
  2. Tree Data Structure
  3. Implementation of Trees
  4. Tree Traversal
Binary Tree
  1. Introduction to Binary Trees
  2. Properties of Binary Trees
  3. Implementation of Binary Trees
  4. Traversal of Binary Tree
  5. Types of Binary Trees
  6. Example: Huffman Coding
  7. Example: Binary Search Tree
Heaps
  1. Array Representation of Binary Tree
  2. Introduction to Heaps
  3. Heap Operations
  4. Heapify
  5. Heap Sort
  6. Heap as a Priority Queue
Graph Data Structure
  1. Graph Data Structure
  2. Graph Terminologies
  3. Adjacency Matrix
  4. Adjacency List
  5. Graph Traversal With DFS Algorithm
  6. BFS Algorithm
Relationships in a Graph
  1. Graph Connectivity
  2. Touring a Graph
  3. Graph Comparisons and Special Properties
  4. Types of Graph
Graph Based Algorithms
  1. Graph Based Algorithms
  2. Topological Sorting
  3. Dijkstra’s Algorithm
  4. Bellman Ford’s Algorithm
  5. Ford Fulkerson Algorithm
  6. Spanning Trees
  7. Kruskal’s Algorithm
  8. Prim’s Algorithm
Greedy Algorithms
  1. Introduction to Greedy Algorithms
  2. The Classroom Scheduling Problem
  3. Coin Change Problem
  4. The Fractional Knapsack Problem
  5. 0-1 Knapsack Problem
Sorting (II)
  • Additional Sorting Techniques
  • Bucket Sort
  • Radix Sort
  • Shell Sort
Balanced Trees
  1. Introduction to Balanced Trees
  2. AVL Trees
  3. Red-Black Trees

Tools and Technologies

Let us help you become an industry asset

Attend job readiness training along with your technical training.

Master Data Structure & Algorithm with

How do I enroll in this program?

Step 1

Apply

Step 2

Talk to A Counsellor

Step 3

Review Your Eligiblity

Step 4

Get Started

Data Structure & Algorithm 
Course Fee

Option 1: One Time Payment

Course Fee

₹ 20,000

+ GST

Option 2: Pay In EMI

Pay In easy EMI

₹ 6,000 X 4 months

Discuss with Your Mentors

Become a Certified Data Structure & Algorithm Developer

Showcase your certificate as a symbol of your web development expertise.