C with Data Structures & Algorithms Course in Delhi

About Data Structure

Data structure is itself an explanation to i.e. forming the data in a memory. The formation of data in memory can be done in various ways such as array in C language. Talking about ‘Array’, then it is an element of memory collection where the data is being stored in a sequence manner. Hence, the formation of data is done by using the array of different data structures. Data Structure & Algorithms course in Delhi  explains about these structures in a very profound manner by using latest technologies that help trainees in experiencing about all of these closely.

Data structure is totally different from other programming languages such as C, C++ or Java as it is a group of various algorithms that can be easily used in any programming language in order to do the formation of the data in a memory. Data Structure course in Delhi has certified & experienced subject matter experts who offer the training to trainees briefly and their provided training is based on live project scenarios.

In order to do the structuring of the data in a memory then number of algorithms is made to use. All these algorithms are termed as ‘Abstract Data Types’ and these data types are believed to be the group of sets.

Which data structure is best to use?

The purpose serve by data structure is to form the data in order to use it effectively and by the means of effectively is time and space. In the case of ‘Abstract Data Type’ aka ADT, the collection of arrays is used for implementing the data structure. Hence, it is proved that certain set of data structure is used for implementing the specific ADT. Data Structure course in Delhi uses both the methods of teaching that are theoretical as well as practical learning. The purpose of providing the practical training is to enhance the learning experience of trainees in a better way.

The role of ADT is to tell the completion of the work whereas data structure tells about the ways of doing the work. In another words, Abstract Data Type provides us with the blueprint of the project whereas data structure tells us about the operation portion.

Which Data Structure should be used for a specific ADT?

Here comes the important question that how to identify that which data structure is good for a specific ADT, nonetheless several operations are being associated with time and space. For instance, the load of ADT is used for operating both Arrays & a linked list where array offers the time effectively and link is offers the space more effectively. So, when this type of situation comes then whatever will best suit the end user’s demand will eventually be selected. Data Structure course in Delhi gives training as per the latest on-going industry trends.

What is Data Structure in C?

The role of best data structures and algorithms course in C is to store the data in a very effective & organized manner and the programming language of C has various data structures such as array, stack, queue, list of links and so on. It is the responsibility of the programmer to select the accurate structure of data and use to as per their own suitability.

Once the training of the course gets done, C with Data Structure and Algorithms training course free in Laxmi Nagar gives certification to trainees that help them during the time of interviews.

INDEX:

C Language Contents:

• Introduction to C Language
• Role Of Compilers and Assemblers
• Procedural programming Approach
• Top to Bottom Approach

Introduction to C Basic

• Keywords
• Data types
• Variables
• Constants
• Identifiers
• Tokens
• Operators
• memory management in program

Flow Control Statements

• Jump statements
• Goto
• Break
• Continue
• Conditional Statements
• If statement
• If else statement
• Nested if else
• If else if ladder
• Switch case statement
• Iteration statements
• For loop
• While loop
• Do while loop
• Nested loops
• patterns

Arrays:

• Introduction to Arrays
• Several examples of Arrays like insert, delete, counter occurrence of items etc.
• Searching
• Sorting
• 2 D Array
• Several Examples of 2 D arrays
• Multidimensional Arrays

Strings:

• Introduction to Strings
• String handling built in functions
• Several examples of Strings
• Array of Strings
• Searching in Array of Strings
• Sorting in Array of Strings

POINTERS

• Introduction to pointers
• Pointer expressions
• Types of Pointers
• Void Pointer
• NULL Pointer
• Wild Pointer
• Dangling Pointer
• Various examples of pointers
• Pointer Arithmetic’s
• Array using pointers
• String using pointers
• Pointers in Functions
• deadlock pointer

FUNCTIONS

• Introduction to functions
• Types of functions
• Nesting of functions
• Various examples of functions
• Strings passing is functions
• Array Passing in Functions
• Pointer passing is functions
• Function Returning Address
• Function returning address
• Recursion
• Various Examples and Interview Questions on Recursion and Function
• Storage classes

STRUCTURE

• Introduction to structure
• Advantages of structure
• Array of structure
• Structure using pointer
• Structure with functions
• Applications of structure

Union

• Introduction to union
• Advantages of union
• Difference between union and structure

Enum

• Introduction to Enum

DYNAMIC MEMORY ALLOCATION

• Introduction to dynamic memory allocation
• Advantage of dynamic memory allocation
• malloc(), calloc(), realloc(), free()
• Array implementation using dynamic memory allocation

Macro and Compiler Control Directives

• #define
• #undef
• #ifdef
• #ifndef
• #elif
• ## Etc.

FILE MANAGEMENT

• Introduction to file management
• File opening modes
• Opening and closing a file
• Input output operations on file
• Applications of file management
• Project

DATA STRUCTURE AND ALGORITHMS CONTENT (using C)

INTRODUCTION TO DATA STRUCTURE AND ALGORITHMS

• What is data structure
• Benefits of data structure
• Types of data structure
• Introduction to algorithms
• Types of Algorithms
• Time and Space Complexity
• Interview Questions

LINEAR DATA STRUCTURE

• Array
• String
• Link list
• Introduction to link list
• Array vs. link lists
• Types of link lists
• Implementation of link list
• Singly link list
• Insertion(at first position, last position and at used specific position) , deletion(at first position, last position and at used specific position) , traversing operations in Singly linked list
• Doubly link list
• Insertion (at first position, last position and at used specific position), deletion(at first position, last position and at used specific position) , traversing operations in Doubly linked list
• Circular link list
• Insertion(at first position, last position and at used specific position) , deletion(at first position, last position and at used specific position) , traversing operations in Circular linked list
• Application of link list
• Interview Questions

Stack

• Introduction to stack
• Stack using array
• Stack using linked list
• Applications of stack
• Reverse Polish Notations(Infix to Post-fix and Infix to Prefix)
• Interview Questions

Queue

• Introduction to queue
• Queue using array
• Queue using linked list
• Applications of queue
• Introduction to circular queue

Application of Circular queue

• Introduction to DeQueue(Double Ended Queue)
• Application of Dequeue
• Priority Queue
• Interview Question

Non-linear data structure

• Tree
• Introduction to trees
• Types of trees
• Implementation of tress
• Binary tree
• Binary search tree
• AVL tree
• Threaded binary tree
• M way tree
• M way search tree
• B tree
• Heap
• Various operations on trees
• Application of tress
• Interview Questions

Searching and sorting

• Searching in arrays
• Searching in strings
• Linear Search
• Binary Search
• Sorting
• Various sorting techniques
• Selection sort
• Bubble sort
• Insertion sort
• Quick sort
• Heap sort
• Merge sort
• Radix Sort

Graph

• Introduction of graph
• Types of graphs
• Implementation of graph using Adj.
• Matrix and Adj. list
• Various operations on graphs
• Shortest path search in graph
• Floyd Warshall Algorithm
• Dijkstra Algorithm
• Minimum spanning tree
• Kruskal’s Algorithm
• Prims Algorithm
• Applications of graphs
• Interview Questions Hashing

Hashing

• Introduction of hashing
• Hash table
• Applications of hashing
• Interview Questions

Interview Questions

Project

C with Data Structure & Algorithms Course Advantages

Information structures permit data stockpiling on hard plates.

gives intends to the board of huge dataset, for example, data sets or web ordering administrations.

Are essential for plan of effective calculations.

permits safe stockpiling of data on a PC. The data is then accessible for some time in the future and can be utilized by various projects. Furthermore, the data is gets and cannot be lost (particularly if it is put away on attractive tapes).

permits the information use and preparing on a product framework.

Permits simpler handling of information.

Utilizing web, we can get to the information whenever from any associated machine (PC, PC, tablet, telephone, and so on)

With productive utilization of information structure memory use can be improved, for e.g., we can utilize connected rundown versus clusters when we do not know about the size of information. When there is no more utilization of memory, it tends to be delivered.

Information designs can be reused, for example whenever we have executed a specific information structure, we can utilize it at some other spot. Execution of information constructions can be ordered into libraries which can be utilized by various customers.

Information structure fills in as the premise of theoretical information types, the information structure characterizes the actual type of ADT(Abstract Data Type). ADT is hypothetical and Data structure gives actual structure to them.