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Topics covered in the course includes: data abstraction, a survey of linear data structures, nonlinear data structures, a discussion of more advanced internal and external sort and search algorithms, and The algorithm analysis and trade-offs study shall be done. Implementations and their efficiency in C Language shall be considered in the implementation.

This course is encapsulated with following key materials –

  • Warm up on the concepts with topic-wise tutorials.
  • Prepare with comprehensive Topic-wise tutorial Materials.
  • Data abstraction and information hiding.
  • Linear data structures and their applications in problem solving and programming.
  • Nonlinear data structures and their applications in problem solving and programming.
  • Internal and external sort and search techniques.
  • Highly Qualified and Experience Technical Team to help each trainee.
  • Small Batch Size for focused Learning analysing the keeping in mind the career path of the student.


  • C Programming
  • Willingness to improve and compete with the best.
  • Curiosity to learn more and code.

Key Learning Outcomes:

When you complete this Course Curriculum, you will be able to accomplish the following:

  • Crack placement of Top-Tier IT companies.
  • Career enhancement and advancement.
  • New ways of solving problems, and the ability to solve more complex problems.
  • Finding algorithmically fast solutions.
  • Writing bug-free code.

Target Audience:

  • Students who want to get selected in Top-Tier IT Companies like TCS, Infosys, Microsoft, Samsung, Wipro and all leading MNC’s of the world.
  • Students who wish to compete, crack and win Coding Competitions  by improving their logic and programming skills
  • Students who want to learn different Problem-Solving Approach.
  • M.Tech/B.Tech/MCA/BCA/Any Graduate or Diploma Holder

Test & Evaluation

  • During the program, the participants will have to take all assignments given to them for better learning.
  • At the end of the program, a final assessment will be conducted


  • All successful participants will be provided with a certificate of completion.
  • Students who do not complete the course / leave it midway will not be awarded any certificate.

Delivery Mode & Duration :

Online Live Mode – 120 Hours (60 Hours Online Live sessions + 60 Hours of assignment)

Module 1 – An Introduction to Data Structure  

  • Introduction to Data and Data Structure
  • Types of Data Structure
  • Primitive and Non-Primitive Data Structure
  • Algorithms, Pseudo Code, Program
  • Performance analysis and Measurement
  • Time Complexity
  • Space Complexity
  • Big O Notation

Module 2 – Function, Recursion and Array 

  • Function:
  • What is function
  • Types of function
  • How function works
  • Function recursion and how it works.
  • Types of Recursion
  • Array
  • Introduction to Array
  • Types of Array
  • Sigle Dimension, Multi Dimension Array
  • Array with Function
  • Array Notation and Pointer Notation

Module 3 – Pointer, Memory Allocation, Segmentation and Array

  • Pointer Introduction
  • Size and Scale of Pointer
  • Generic and Constant Pointer
  • Memory Allocation
  • Types of Memory Allocation
  • Static Memory Allocation
  • Dynamic Memory Allocation
  • Malloc(), calloc(), realloc() ,free()
  • Memory Segmentation 
  • Stack
  • Heap
  • Data 
  • Code
  • Storage Class 
  • Auto
  • register
  • Static
  • Extern

Module 4 – Structure and Linked Lists 

  • Structure 
  • Structure using structure
  • Nested Structure 
  • Anonymous Structure
  • Self-Referential Structure 
  • Linked List Introduction
  • Operations on Linked List
  • Types of Linked List
  • Singly Linked List
  • Double Linked List
  • Circular Linked List
  • Circular doubly Linked List
  • Applications of Linked List

Module 5 – Stack 

  • Stack Introduction
  • Stack Implementation
  • Static Implementation (Array)
  • Dynamic Implementation (Pointer)
  • Applications of Stack
  • Polish Notations

Module 6 – Queue

  • Queue Introduction 
  • Queue Implementation
  • Static Implementation (Array)
  • Dynamic Implementation (Pointer)
  • Circular Queue, Double Ended Queue, Priority Queue 
  • Applications of Queue

Module 7 – Trees

  • Tree Introduction
  • Tree Terminology
  • Binary Tree
  • Strictly Binary Tree
  • Complete Binary Tree
  • Extended Binary Tree
  • Binary Tree Representation
  • Binary Tree Traversal
  • PreOrder
  • Inorder
  • PostOrder
  • Expression Tree
  • Binary Search Tree
  • Height Balanced Tree (AVL Tree )

Module 8 – Graphs

  • Graph Definition
  • Graph Terminology
  • Graph Representation
  • Adjacency Matrix
  • Adjacency List Representation
  • Graph Traversal
  • Breadth First Traversal
  • Depth First Traversal
  • Minimal Spanning Tree

Module 9 – Sorting and Searching

  • Sorting Introduction
  • Sorting Techniques
  • Bubble Sort
  • Selection Sort
  • Insertion Sort
  • Quick Sort
  • Merge Sort
  • Heap Sort
  • Searching Techniques
  • Linear Search
  • Binary Search

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