Data Strucures course-Nipuna Technologies,Guntur

Data Structures Traning Institute in Guntur – Data Structure Course

We provide Quality-  Data Structures course class room training in Guntur. Data Structures is a concept a means of storing a collection of data. Computer Science is a concern with study of methods for effectively using a computer to solve problems. These can be solve by algorithms and data structures.

                                                      Data Structures Course main objective for the student to understand Analysis and Designing of the Algorithms and how the different data structures are used for efficient accessing of the data and Manipulation of the data at the end of the session we can able to Know different Kinds of data structures and we can able to provide different algorithms for time and space complexity.

                                            Many Applications are designed by data structures stack applications like page visited history in a web-browser, chain of method calls in the Java virtual machine or C++ Run-time environment etc Queue Application Like Waiting Lines, Multi-programming etc For many applications the choice of proper data structures is the only major decision involving the implementation. Majorly the database designing and internal implementation is done only by using Data Structures techniques. Our +8 Year experienced faculty provide training according to the industrial interview.

                                                   It will be beneficial for you, if you take the Data Structure training along with the other programming languages like C and C++. Our Data Structure Training course will benefit you to perform your programming jobs better and also helps you to get to better positions, with confidence, in case you are looking out for jobs.  Nipuna Technologies also provides 100% placement assurance in well reputed companies to the students with good salary packages. The duration for this Data Structure course is only 45 days.


Our Course Curriculum

  • As we have discussed above, anything that can store data can be called as a data structure, hence Integer, Float, Boolean, Char etc, all are data structures. They are known as Primitive Data Structures.

    Then we also have some complex Data Structures, which are used to store large and connected data. Some example of Abstract Data Structure are :

    • Linked List
    • Tree
    • Graph
    • Stack, Queue etc.


An algorithm is a finite set of instructions or logic, written in order, to accomplish a certain predefined task. Algorithm is not the complete code or program, it is just the core logic(solution) of a problem, which can be expressed either as an informal high level description as pseudocode or using a flowchart.



  • Characteristics of a Data Structure
  • Need for Data Structure
  • Execution Time
  • Basic Terminology


  • Characteristics of an Algorithm
  • How to Write an Algorithm?
  • Algorithm Analysis
  • Algorithm Complexity


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  • Asymptotic Notations
  • Common Asymptotic Notations


  • Counting Coins
  • Divide & Conquer
  • Divide/Break
  • Conquer/Solve
  • Merge/Combine


  • Data Object
  • Basic Operations
  • Data Type


  • Array Representation
  • Basic Operations
  • Insertion Operation
  • Insertion at the Given Index of an Array
  • Array Insertions
  • Insertion at the Beginning of an Array
  • Insertion After the Given Index of an Array
  • Deletion Operation
  • Insertion Before the Given Index of an Array
  • Search Operation
  • Update Operation


  • Linked List Representation
  • Types of Linked List
  • Basic Operations
  • Insertion Operation
  • Deletion Operation
  • Reverse Operation
  • Linked List Program in C


  • Doubly Linked List Representation
  • Basic Operations
  • Insertion Operation
  • Deletion Operation
  • Insertion at the End of an Operation
  • Doubly Linked List Program in C

  • Singly Linked List as Circular
  • Doubly Linked List as Circular
  • Basic Operations
  • Insertion Operation
  • Deletion Operation
  • Display List Operation
  • Circular Linked List Program in C

  • Stack Representation
  • Basic Operations
  • peek()
  • isfull()
  • isempty()
  • Push Operation
  • Pop Operation
  • Stack Program in C

  • Infix Notation
  • Prefix Notation
  • Postfix Notation
  • Parsing Expressions
  • Postfix Evaluation Algorithm
  • Expression Parsing Using Stack

  • Queue Representation
  • Basic Operations
  • peek()
  • isfull()
  • isempty()
  • Enqueue Operation
  • Dequeue Operation
  • Queue Program in C

  • Linear Search
  • Binary Search

  • Sorting Algorithms
  • Bubble Sort, Insertion Sort, & Selection Sort
  • Merge Sort Algorithm
  • Shell Sort ,Quick Sort

  • Depth First Traversal
  • Breadth First Traversal

  • Tree Travels

  • Introduction
  • Structured Representation
  • Statements and Control Structures
  • Abstract Data Types
  • Static Data Types
  • Dynamic Data Types
  • Arrays
  • Pointers
  • Linked List
  • Advanced Data Structures
  • Defining stack
  • Application of stack
  • Operations of stack
  • Stack implemented as an array
  • Stack implemented with pointers
  • Using Stacks to solve problems


  • Defining Queue
  • Application of Queue
  • Operation of Queue
  • Circular Queue
  • Priority Queue
  • Double Ended Queue
  • Queue implemented with Pointers
  • Differences between Stacks and Queues
  • Introduction
  • Advantages of Linked List over an Array
  • Application of Linked List
  • Types of Linked Lists
  • Singly Linked Lists
  • Operation of Singly Linked Lists
  • Doubly Linked Lists
  • Operations on Doubly Linked Lists
  • Circular Linked Lists
  • Circular Double Linked Lists
  • Uses of Linked Lists
  • Introduction
  • Binary Trees
  • Implementation of Binary Trees
  • Insertion into a Binary Tree
  • Binary Tree Deletion
  • Traversing a Binary Tree
  • Binary Height Balanced Trees
  • Introduction
  • Types of Graphs
  • Various Representation of Graphs
  • Application of Graphs
  • Graph Traversals
  • Introduction
  • Bubble Sort
  • Selection Sort
  • Quick Sort
  • Merge Sort
  • Iterative Merge Sort
  • Introduction to Heap
  • Heap Operations
  • Heap Sort


  • Introduction
  • Linear Search
  • Binary Search

Any Graduates,Technical and Non- Technical students

Course Details

Course Duration

45 Days

Batches Timings

8:00 AM - 8:00 PM
Each Session 1 Hour
New Batches Starts on 10th & 17th September 2018


Valid certification on successful completion of course from Institute.

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