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Data Structure Development

Data Structure Development Training

Data Structure Development Training helps students and professionals learn efficient data storage and retrieval techniques using arrays, linked lists, stacks, queues, trees, graphs, and hashing. The course includes practical examples, problem-solving, and real-time coding projects to build strong programming skills.

Course Requirement

Basic programming knowledge (C/C++/Java) recommended. Suitable for IT aspirants, students, and professionals aiming to improve problem-solving and coding skills.

  • Basic programming understanding
  • Logical thinking & problem-solving skills
  • Laptop recommended for practice
  • Interest in algorithms and data structures

Professional Experience

Students will learn arrays, linked lists, stacks, queues, trees, graphs, sorting & searching algorithms, and hashing techniques. After course completion, students can work as Software Developer, Algorithm Specialist, or prepare for competitive programming and technical interviews.


Course Curriculum / Syllabus

1. Introduction & Arrays
  • Introduction to Data Structures
  • Arrays & Operations
  • Multidimensional Arrays
  • Time & Space Complexity Analysis
2. Linked Lists
  • Singly & Doubly Linked Lists
  • Circular Linked Lists
  • Insertion, Deletion & Traversal
3. Stacks & Queues
  • Stack Implementation & Applications
  • Queue Types: Simple, Circular, Priority Queue
  • Stack & Queue Problems
4. Trees
  • Binary Trees & Traversal Techniques
  • Binary Search Trees (BST)
  • AVL Trees & Heaps
5. Graphs
  • Graph Representation: Adjacency Matrix/List
  • BFS & DFS Algorithms
  • Graph Applications
6. Hashing & Projects
  • Hash Tables & Hash Functions
  • Collision Resolution Techniques
  • Mini Project – Student Management System
  • Final Project – Algorithm & Data Structure Application