Data Structure Using C Training in Pune

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Data Structure Using C Classes in Pune

Data structures gives programmer a logical way of sorting data and it also defines the mechanism of retrieving data. It is essential building blocks in obtaining efficient algorithm. This course provides you the detailing about different types of data structure.

Data Structure

C Programming and data structures are a combination of courses that cover basic computer concepts, memory organization, preprocessor, compiler, and linker.

It offers the best computer training in Pune to learn your first C program and workouts on data types and operators, variables and qualifiers, control flow, C functions, recursion,

Organize a large number of elements so that insertion, exclusion, and research can be carried out quickly and efficiently.

The stack is used to convert infix expressions to post fixed expressions.

It is also used to evaluate the expression of the suffix value.

A batch is created in the recursion system to store the previous value of the recursive function.

Does the question arise when using a matrix?

The answer would be to want immediate access to the items, to know their position in the index and to sort and search quickly without having to insert or

The queue is used to implement the concept of the process management planning algorithm.

A planning queue is used on a first-come, first-served basis, that is, H.

The circular queue is used for planning the rotation.

The priority queue is used in priority-based planning.

The queue is used to convert the infix expression to its prefix expression.

It is commonly used in topological classification thanks to this acceptable topology for the connection of a laptop and the Web.

The list is used to store a large number of records, one after the other.

Sequential file management is implemented using the list concept.

The diagram is used to configure each LAN, WAN, MAN network system.

The graphic is used to implement the transportation problem in order to establish the city’s transportation system.

Depending on the task you want to do most often, choose a data structure that makes that task easier, faster, and more efficient.

The tree is used to find items very quickly.

The tree is used to implement the concept of DBMS.

In the database management system, the concept of tree B is generally implemented internally in order to organize a large number of data records.

The main objective of this training on the data structure is to help the student understand the analysis and design of algorithms.

Data Structure Training Course Objective

The main objective of this training on the data structure is to help the student understand the analysis and design of algorithms.

How the different data structures are used to access efficient data and modify the data at the end of the session.

We can know different types of data structures and provide different types of algorithms for time and space complexity.

Built-in Data-structures:

Lists: stores indexed items that can be edited and contain duplicate items

Tuple: stores indexed immutable items which may contain duplicate copies

Dictionaries: store key-value pairs which can be modified

Sets: contains unique, cluttered items that can be changed


User-defined Data-structures:

Array: similar to lists, but store individual item types

Graphics: save a collection of points or nodes with edges

Stack: LIFO linear data structure (last in, first out)

Queues: linear FIFO data structure (first in, first out)

Trees: non-linear data structures with roots and nodes

Linked lists: linear data structures linked to pointers


Algorithms are rules or instructions formulated in a finite and sequential order to solve problems and obtain the necessary results.

They indicate pseudocode for the problems and can be implemented in several languages ​​because they are not specific to a language.

Algorithms generally written as a combination of user-friendly language and some common programming languages.

They are usually written in stages, but it is not always necessary.

There are no clear rules for formulating algorithms, but you should consider the following:

Key Features of Data Structure Using C Training 

DURATION : (40 Hours)

PREREQUISITES : Knowledge of C/C++ Programming language.

TRAINING HIGHLIGHTS : After completion of this course student will get the ability to understand the problem and select relevant data structure . Student will be able to understand algorithm and how to develop it. We provide the DS training for all curriculum subject such as Engineering (computer Science and IT) BCA and BCS student.

Data Structure Using C Syllabus

The detailed syllabus is designed for freshers as well as working professionals

1. Concepts of Data Structure

    • Definition
    • Need of Data Structure
    • Types of Data Structures
    • Efficiency of an algorithm
    • Classification of Data Structure

2. Arrays

    • Introduction
    • Linear Arrays
    • Operations on Arrays
    • Multidimensional Arrays
    • Representation of two-dimensional arrays
    • Advantages and Disadvantages of Arrays

3. Lists

    • Introduction
    • Types of Linked Lists
    • Single Linked List and Operations on it
    • Double Linked List and Operations on it
    • Circular Linked List and Operations on it
    • Advantages and Disadvantages of Linked Lists
    • Linked Lists Vs. Arrays

4. Stack

    • Introduction
    • Applications of Stacks
    • Operations on Stacks
    • Array Representation of Stacks
    • Linked Representation of Stacks
    • Polish Notations

5. Queue

    • Introduction
    • Applications of Queues
    • Operations on Queues
    • Array Representation of Queues
    • Linked Representation of Queues
    • Circular Queues
    • Dequeues
    • Priority Queues

6. Trees

    • Introduction
    • Types of trees
    • Types of trees
    • Binary Trees
    • Representation of Binary trees
    • Tree Traversal
    • Binary search Trees
    • Heap
    • AVL trees

7. Graphs

    • Introduction
    • Graph Terminology
    • Types of Graphs
    • Sequential Representation of Graphs
    • Linked Representation of Graphs
    • Graph Traversal

8. Sorting & Searching Techniques

    • Insertion Sort
    • Merge Sort
    • Quick Sort
    • Radix Sort
    • Selection Sort
    • Bubble Sort
    • Linear Search
    • Binary Search
    • Hashing
    • Hash Functions
    • Collision resolution

9. File Structures

    • Physical Storage Media File Organization
    • Organization of records into Blocks
    • Sequential Files
    • Indexing

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After the course completion, an exam will be conducted to judge your knowledge along with the live project work completion check and you will be awarded a certificate from 3RI Technologies.

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