DSA
Skill Programs
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CSE -IT Programs
Data Structures And Algorithms
Master the foundational building blocks of efficient computing with our comprehensive Data Structures and Algorithms program.
Learn to organize, manage, and process data using essential structures like arrays, lists, trees, and graphs, alongside powerful problem-solving techniques and algorithms. You’ll gain the skills to analyze time and space complexity, select the optimal tools for any programming challenge, and build scalable, high-performance applications. With hands-on coding challenges, real-world problems, and expert guidance, you’ll master sorting, searching, dynamic programming, and confidently solve complex technical interviews.
Technologies You’ll Learn
Our Approach
At our EdTech-driven digital solutions hub, we follow a structured, applied, and career-focused approach to Data Structures and Algorithms, ensuring every fundamental concept is mastered and immediately applicable to coding interviews and software development. Here’s how we do it:
Foundation & Analysis
Core Concepts: Understand the need for DSA, abstract data types (ADT), and their practical implementations.
Time & Space Complexity: Master Big O notation ($\mathcal{O}$), and analyze the efficiency of algorithms (best, average, and worst case), a critical skill for interviews.
Core Data Structures
Linear Structures: Implement and apply Arrays, Linked Lists (Singly, Doubly, Circular), Stacks, and Queues.
Non-Linear Structures: Dive deep into Trees (Binary Search Trees, Heaps, AVL/Red-Black Trees) and Hash Maps/Tables.
Algorithm Design Paradigms
Sorting & Searching: Implement and analyze classic algorithms like Merge Sort, Quick Sort, Insertion Sort, Binary Search, etc.
Advanced Techniques: Master powerful problem-solving paradigms: Recursion, Backtracking, Divide & Conquer, Greedy Algorithms, and Dynamic Programming.
Application & Career-Readiness
Practical Problem Solving: Apply learned DSA concepts to solve 300+ real-world coding challenges and technical interview questions from top-tier companies.
System Design Basics: Understand how optimal DSA choices impact the performance and scalability of large-scale systems.
All Programs
Join the Program
Certifications
Professional achievements and credentials
Training Completion Certificate
Issued by GenLearny
Internship Completion Certificate
Issued by GenLearny
Companies Hiring Data Analysts.
Program Curriculum
Importance of Data Structures and Algorithms in problem-solving
Algorithm analysis: time and space complexity
Big O, Big Theta, and Big Omega notations
Flowcharts and pseudocode basics
Practical: Write a simple algorithm and analyze its complexity
Static vs Dynamic arrays
Multi-dimensional arrays and applications
String operations: comparison, concatenation, searching
Character arrays vs String classes
Practical: Implement array operations and string manipulation programs
Concepts of nodes and pointers
Types: singly, doubly, and circular linked lists
Insertion, deletion, and traversal techniques
Memory management and real-world use cases
Practical: Implement linked list operations in C/C++/Python
Stack operations and applications (infix–postfix conversion, recursion)
Queue operations, circular queues, and priority queues
Applications in scheduling and simulations
Practical: Build stack and queue programs using arrays and linked lists
Binary trees, binary search trees (BST), AVL trees, and heaps
Tree traversal methods (inorder, preorder, postorder)
Applications in searching, sorting, and expression evaluation
Practical: Implement tree traversals and BST insertion/deletion
Graph representation: adjacency list and matrix
Graph traversal: BFS, DFS
Shortest path algorithms (Dijkstra, Floyd-Warshall)
Minimum Spanning Tree (Prim’s, Kruskal’s)
Practical: Create and traverse graphs using BFS/DFS
Linear and Binary search
Sorting algorithms: Bubble, Selection, Insertion, Merge, Quick, Heap sort
Time complexity analysis and comparisons
Practical: Implement and compare multiple sorting techniques
Concept of recursion and stack frame
Classic problems: factorial, Fibonacci, Tower of Hanoi
Divide and conquer strategy (Merge Sort, Quick Sort, Binary Search)
Practical: Solve recursive problems and visualize call stack behavior
Hash functions and collision handling techniques
Hash tables and their applications
Introduction to advanced structures: Tries, Segment Trees, Red-Black Trees
Practical: Build a simple hash table and perform insert/search operations
Greedy algorithms (Activity Selection, Huffman Coding)
Dynamic Programming (Knapsack, LCS, Matrix Chain Multiplication)
Backtracking (N-Queens, Sudoku Solver)
Real-world case studies and coding challenges
Practical: Solve DSA problems on platforms like LeetCode or HackerRank
Affordable and Student-Friendly Pricing
Gen-Edge
₹5,000
- Recorded Lectures
- Real Time Projects
- Live Sessions
- One On One Doubt Clearing Sessions
- Certifications
- Mentor Support
- Placement Guidance
- Interview Assistance
- LinkedIn Optimization
Gen-Pro
₹9,000
- Recorded Lectures
- Real Time Projects
- Live Sessions
- One On One Doubt Clearing Sessions
- Certifications
- Mentor Support
- Placement Guidance
- Interview Assistance
- LinkedIn Optimization
# FAQs
Answers to Your Most Common Questions
We provide internship programs across CSE/IT, Management, ECE/EEE, Mechanical Engineering, and Digital Marketing, focusing on real-world projects and skill development.
Yes! Our internship programs are designed to accommodate beginners while also challenging advanced learners with hands-on tasks.
Yes, all our internship programs are designed in collaboration with industry requirements to provide practical, real-world experience.
Students, fresh graduates, and anyone looking to gain hands-on industry experience can apply, regardless of their prior knowledge.
You gain practical experience, work on real-time projects, build a strong portfolio, and improve employability in your chosen field.
Yes. Every participant is guided by industry professionals to ensure a meaningful learning experience.
